{
 "meta": {
  "dossier": "markets-companies",
  "source": "Reserve Bank of India, studies of company finances (DBIE, via the local Data Bank)",
  "vintage": "2026-10-10",
  "mock": false,
  "geo": "IND",
  "releaseDate": null,
  "revisionPolicy": "Each study is final for its own sample of companies; a later study re-measures the earlier year on a different sample, kept beside it, never chained.",
  "frequency": "annual",
  "base": "Old reporting format (studies 2011-12 to 2018-19)",
  "product": "DBIE report 1201",
  "companyType": "Public limited companies",
  "statement": "Growth rates",
  "cut": "Size of sales",
  "studies": [
   "2011-12",
   "2012-13",
   "2013-14",
   "2014-15",
   "2015-16",
   "2016-17",
   "2017-18",
   "2018-19"
  ],
  "coverage": "Public limited companies: growth rates, by size of sales, from the RBI's annual studies (2011-12 to 2018-19 studies)",
  "unit": "pct",
  "studyOffset": 0,
  "note": "Each year's figure is from that year's own study: the companies in the study, this year against last year for growth rates. Consecutive years are different samples; read the level of a rate across years, never a rupee level. Ratios in per cent except those marked times.",
  "latestPeriod": "2018-04"
 },
 "dates": [
  "2011-04-01",
  "2012-04-01",
  "2013-04-01",
  "2014-04-01",
  "2015-04-01",
  "2016-04-01",
  "2017-04-01",
  "2018-04-01"
 ],
 "series": {
  "rs_1000_crore_and_above__interest_expenses": {
   "label": "₹ 1000 crore & above: Interest Expenses",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    null,
    27.6,
    18.8,
    8.8,
    4.4,
    7.7,
    4.4,
    15
   ]
  },
  "rs_1000_crore_and_above__profit_before_tax_and_non_operating_surplus_deficit": {
   "label": "₹ 1000 crore & above: Profit before tax and non-operating surplus/deficit",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    -4.7,
    -0.2,
    4.4,
    12.9,
    18.3,
    8.5,
    24.9,
    10.4
   ]
  },
  "rs_1000_crore_and_above__non_operating_surplus_deficit": {
   "label": "₹ 1000 crore & above: Non-operating surplus / deficit",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    -27.8,
    null,
    null,
    126.2,
    -9.2,
    12.3,
    5.5,
    null
   ],
   "gaps": [
    "2012-04-01",
    "2013-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_1000_crore_and_above__profit_before_tax": {
   "label": "₹ 1000 crore & above: Profit Before Tax",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    -5,
    1.8,
    5.8,
    14.1,
    17.1,
    10.3,
    15.5,
    15.9
   ]
  },
  "rs_1000_crore_and_above__profit_after_tax": {
   "label": "₹ 1000 crore & above: Profit After Tax",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    -9.4,
    2.2,
    3.3,
    14.8,
    16.9,
    13.2,
    14.6,
    17.4
   ]
  },
  "rs_1000_crore_and_above__dividend_paid": {
   "label": "₹ 1000 crore & above: Dividend paid",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    -1.3,
    12,
    15.6,
    27.1,
    23.8,
    4.6,
    -18.2,
    24.9
   ]
  },
  "rs_1000_crore_and_above__profit_retained": {
   "label": "₹ 1000 crore & above: Profit retained",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    -12.4,
    -2.3,
    -2.7,
    12.1,
    13.1,
    25.3,
    48.1,
    14
   ]
  },
  "rs_1000_crore_and_above__gross_saving": {
   "label": "₹ 1000 crore & above: Gross saving",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    -3.3,
    4,
    4.4,
    11.3,
    11.4,
    13.3,
    24.3,
    13.2
   ]
  },
  "rs_1000_crore_and_above__gross_value_added": {
   "label": "₹ 1000 crore & above: Gross value added",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    7.5,
    10,
    11.2,
    10.2,
    13.7,
    9.4,
    11.6,
    11.9
   ]
  },
  "rs_1000_crore_and_above__net_value_added": {
   "label": "₹ 1000 crore & above: Net Value Added",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    6.8,
    9.5,
    10.8,
    10.4,
    14.5,
    10.1,
    13.1,
    11.8
   ]
  },
  "rs_1000_crore_and_above__net_worth": {
   "label": "₹ 1000 crore & above: Net worth",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    9.4,
    8.4,
    11.1,
    11.7,
    9.6,
    10.6,
    3.9,
    9.3
   ]
  },
  "rs_1000_crore_and_above__non_current_liabilities": {
   "label": "₹ 1000 crore & above: Non-current liabilities",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    null,
    15,
    13.9,
    10.6,
    3.5,
    1.5,
    -0.3,
    20.6
   ]
  },
  "rs_1000_crore_and_above__total_borrowings": {
   "label": "₹ 1000 crore & above: Total borrowings",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    12.3,
    15.4,
    15.3,
    7.2,
    3.8,
    1.8,
    0.3,
    18.8
   ]
  },
  "rs_1000_crore_and_above__borrowings_from_banks": {
   "label": "₹ 1000 crore & above: Borrowings from banks",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    null,
    16,
    11.3,
    4,
    1.4,
    -5.8,
    0.6,
    19.1
   ]
  },
  "rs_1000_crore_and_above__long_term_borrowings": {
   "label": "₹ 1000 crore & above: Long term borrowings",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    null,
    15.8,
    15.9,
    12.2,
    1.8,
    -0.3,
    -2,
    22
   ]
  },
  "rs_1000_crore_and_above__current_liabilities": {
   "label": "₹ 1000 crore & above: Current liabilities",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    null,
    12.1,
    12.4,
    5.1,
    12.2,
    11.3,
    15,
    6.5
   ]
  },
  "rs_1000_crore_and_above__non_current_assets": {
   "label": "₹ 1000 crore & above: Non-current assets",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    null,
    10.3,
    15.6,
    9.1,
    13.3,
    7.3,
    4.7,
    9.5
   ]
  },
  "rs_1000_crore_and_above__gross_fixed_assets": {
   "label": "₹ 1000 crore & above: Gross fixed assets",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    11.1,
    12.1,
    12.5,
    9.8,
    14.2,
    8,
    5.3,
    10.2
   ]
  },
  "rs_1000_crore_and_above__net_fixed_assets": {
   "label": "₹ 1000 crore & above: Net Fixed Assets",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    9.3,
    9.9,
    12.5,
    9.7,
    17.4,
    6.5,
    1.5,
    5.6
   ]
  },
  "rs_1000_crore_and_above__current_assets": {
   "label": "₹ 1000 crore & above: Current assets",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    null,
    12.4,
    7.4,
    9.9,
    4,
    10.1,
    8.3,
    14.6
   ]
  },
  "rs_1000_crore_and_above__inventories": {
   "label": "₹ 1000 crore & above: Inventories",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    15,
    13.2,
    6.4,
    8.2,
    -0.9,
    8.5,
    7.5,
    14.9
   ]
  },
  "rs_1000_crore_and_above__total_gross_assets": {
   "label": "₹ 1000 crore & above: Total gross assets",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    13,
    12,
    12.2,
    9.5,
    9.2,
    8.8,
    7.2,
    12.6
   ]
  },
  "rs_1000_crore_and_above__total_net_assets": {
   "label": "₹ 1000 crore & above: Total net assets",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    12.7,
    11.1,
    12.2,
    9.4,
    9.2,
    8.2,
    5.9,
    11.2
   ]
  },
  "rs_1000_crore_and_above__number_of_companies": {
   "label": "₹ 1000 crore & above: Number of Companies",
   "unit": "count",
   "group": "₹ 1000 crore & above",
   "data": [
    470,
    428,
    572,
    377,
    504,
    669,
    565,
    774
   ]
  },
  "rs_1000_crore_and_above__gross_profit_ebit": {
   "label": "₹ 1000 crore & above: Gross profit (EBIT)",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    1.9,
    5.9,
    8.2,
    12.2,
    15.3,
    8.1,
    14.4,
    11.9
   ]
  },
  "rs_1000_crore_and_above__depreciation_provision": {
   "label": "₹ 1000 crore & above: Depreciation provision",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    10.6,
    12.2,
    13.3,
    8.9,
    8.8,
    6.5,
    5,
    12.3
   ]
  },
  "rs_1000_crore_and_above__operating_profit": {
   "label": "₹ 1000 crore & above: Operating Profit",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    null,
    null,
    null,
    8.5,
    15.6,
    7.7,
    16.5,
    11.9
   ]
  },
  "rs_1000_crore_and_above__operating_expenses": {
   "label": "₹ 1000 crore & above: Operating Expenses",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    22.4,
    12.6,
    8.1,
    4.3,
    -2.9,
    5.1,
    12.5,
    17.5
   ]
  },
  "rs_1000_crore_and_above__remuneration_to_employees": {
   "label": "₹ 1000 crore & above: Remuneration to employees",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    20,
    17.3,
    16.9,
    12.6,
    11.9,
    9.5,
    7.8,
    12.8
   ]
  },
  "rs_1000_crore_and_above__manufacturing_expenses": {
   "label": "₹ 1000 crore & above: Manufacturing Expenses",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    21.7,
    12.3,
    6.2,
    3,
    -8.2,
    5.7,
    15.7,
    20.4
   ]
  },
  "rs_1000_crore_and_above__total_income": {
   "label": "₹ 1000 crore & above: Total Income",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    19.3,
    12,
    8.5,
    6.3,
    -0.2,
    5.7,
    12,
    17.1
   ]
  },
  "rs_1000_crore_and_above__value_of_production": {
   "label": "₹ 1000 crore & above: Value of production",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    19.1,
    11.7,
    8.2,
    5.2,
    -0.2,
    5.3,
    13,
    16.7
   ]
  },
  "rs_1000_crore_and_above__sales": {
   "label": "₹ 1000 crore & above: Sales",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    20.1,
    11.8,
    8.5,
    5.1,
    0.6,
    6.5,
    12.2,
    16.7
   ]
  },
  "rs_500_crore_rs_1000_crore__number_of_companies": {
   "label": "₹ 500 crore - ₹ 1000 crore: Number of Companies",
   "unit": "count",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    344,
    291,
    364,
    219,
    363,
    501,
    374,
    474
   ]
  },
  "rs_500_crore_rs_1000_crore__total_net_assets": {
   "label": "₹ 500 crore - ₹ 1000 crore: Total net assets",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    11.5,
    7.4,
    -0.3,
    9.7,
    6.3,
    7.5,
    6.4,
    -1.1
   ]
  },
  "rs_500_crore_rs_1000_crore__total_gross_assets": {
   "label": "₹ 500 crore - ₹ 1000 crore: Total gross assets",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    12.1,
    8.3,
    0.8,
    10.2,
    6.2,
    7.1,
    7.3,
    0.4
   ]
  },
  "rs_500_crore_rs_1000_crore__inventories": {
   "label": "₹ 500 crore - ₹ 1000 crore: Inventories",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    11.3,
    6.7,
    2.3,
    5.5,
    4.9,
    5,
    -1.3,
    9.2
   ]
  },
  "rs_500_crore_rs_1000_crore__current_assets": {
   "label": "₹ 500 crore - ₹ 1000 crore: Current assets",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    null,
    3.9,
    7.4,
    7.2,
    9.5,
    9.4,
    10.7,
    3.4
   ]
  },
  "rs_500_crore_rs_1000_crore__net_fixed_assets": {
   "label": "₹ 500 crore - ₹ 1000 crore: Net Fixed Assets",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    11.7,
    5.6,
    -13.6,
    15.5,
    2.3,
    3,
    1,
    -6
   ]
  },
  "rs_500_crore_rs_1000_crore__gross_fixed_assets": {
   "label": "₹ 500 crore - ₹ 1000 crore: Gross fixed assets",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    13,
    8.7,
    -7.7,
    15.9,
    3.4,
    3.5,
    4.9,
    -0.7
   ]
  },
  "rs_500_crore_rs_1000_crore__non_current_assets": {
   "label": "₹ 500 crore - ₹ 1000 crore: Non-current assets",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    null,
    10.1,
    -5.4,
    11.4,
    4,
    6.1,
    3.3,
    -4.2
   ]
  },
  "rs_500_crore_rs_1000_crore__current_liabilities": {
   "label": "₹ 500 crore - ₹ 1000 crore: Current liabilities",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    null,
    1.3,
    -1.3,
    2,
    9.3,
    15.3,
    13.6,
    0.9
   ]
  },
  "rs_500_crore_rs_1000_crore__long_term_borrowings": {
   "label": "₹ 500 crore - ₹ 1000 crore: Long term borrowings",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    null,
    28.6,
    -11.4,
    14.6,
    0.1,
    -5.3,
    1.5,
    -1.5
   ]
  },
  "rs_500_crore_rs_1000_crore__borrowings_from_banks": {
   "label": "₹ 500 crore - ₹ 1000 crore: Borrowings from banks",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    null,
    9.3,
    -8,
    15.6,
    2.8,
    -3.6,
    8,
    -10.5
   ]
  },
  "rs_500_crore_rs_1000_crore__total_borrowings": {
   "label": "₹ 500 crore - ₹ 1000 crore: Total borrowings",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    11.1,
    18.4,
    -11.5,
    14.1,
    4.4,
    1.9,
    6.7,
    -1.9
   ]
  },
  "rs_500_crore_rs_1000_crore__non_current_liabilities": {
   "label": "₹ 500 crore - ₹ 1000 crore: Non-current liabilities",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    null,
    25.7,
    -9.5,
    12.3,
    0.8,
    -3.1,
    2.9,
    -1.1
   ]
  },
  "rs_500_crore_rs_1000_crore__net_worth": {
   "label": "₹ 500 crore - ₹ 1000 crore: Net worth",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    7.7,
    1.4,
    7,
    14.3,
    7.1,
    8.4,
    2.4,
    -2.9
   ]
  },
  "rs_500_crore_rs_1000_crore__net_value_added": {
   "label": "₹ 500 crore - ₹ 1000 crore: Net Value Added",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    0.6,
    0.8,
    3,
    13.5,
    7.9,
    12.8,
    4.4,
    -4.1
   ]
  },
  "rs_500_crore_rs_1000_crore__gross_value_added": {
   "label": "₹ 500 crore - ₹ 1000 crore: Gross value added",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    2.5,
    3.1,
    4,
    14.8,
    7.3,
    11,
    3.2,
    -2.5
   ]
  },
  "rs_500_crore_rs_1000_crore__gross_saving": {
   "label": "₹ 500 crore - ₹ 1000 crore: Gross saving",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    -11.3,
    -90.9,
    8.3,
    4,
    -24.4,
    38.7,
    -16.5,
    -75.8
   ]
  },
  "rs_500_crore_rs_1000_crore__profit_retained": {
   "label": "₹ 500 crore - ₹ 1000 crore: Profit retained",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    -29.3,
    null,
    5.4,
    -4.1,
    -69.1,
    64.6,
    -28.4,
    null
   ],
   "gaps": [
    "2012-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_500_crore_rs_1000_crore__dividend_paid": {
   "label": "₹ 500 crore - ₹ 1000 crore: Dividend paid",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    14.6,
    -11.7,
    12.2,
    18.6,
    69.4,
    -55.1,
    48.8,
    50.3
   ]
  },
  "rs_500_crore_rs_1000_crore__profit_after_tax": {
   "label": "₹ 500 crore - ₹ 1000 crore: Profit After Tax",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    -19.4,
    -187.4,
    9.3,
    -0.5,
    -40.1,
    41.7,
    -13.8,
    -167.9
   ]
  },
  "rs_500_crore_rs_1000_crore__profit_before_tax": {
   "label": "₹ 500 crore - ₹ 1000 crore: Profit Before Tax",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    -13.3,
    -114.3,
    6.4,
    2,
    -22.6,
    34.5,
    -1.3,
    -92.3
   ]
  },
  "rs_500_crore_rs_1000_crore__non_operating_surplus_deficit": {
   "label": "₹ 500 crore - ₹ 1000 crore: Non-operating surplus / deficit",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    520,
    -265.6,
    null,
    -34.6,
    -149.7,
    43.1,
    -12.9,
    null
   ],
   "gaps": [
    "2013-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_500_crore_rs_1000_crore__profit_before_tax_and_non_operating_surplus_deficit": {
   "label": "₹ 500 crore - ₹ 1000 crore: Profit before tax and non-operating surplus/deficit",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    -25.3,
    -48.5,
    -6.8,
    4.8,
    -2,
    28.5,
    10.5,
    -53.7
   ]
  },
  "rs_500_crore_rs_1000_crore__interest_expenses": {
   "label": "₹ 500 crore - ₹ 1000 crore: Interest Expenses",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    null,
    11.5,
    4,
    22.2,
    4.9,
    3,
    -11.5,
    10.9
   ]
  },
  "rs_500_crore_rs_1000_crore__gross_profit_ebit": {
   "label": "₹ 500 crore - ₹ 1000 crore: Gross profit (EBIT)",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    -10.2,
    -9.4,
    -0.6,
    10.8,
    1.8,
    14.2,
    -3.8,
    -14.3
   ]
  },
  "rs_500_crore_rs_1000_crore__depreciation_provision": {
   "label": "₹ 500 crore - ₹ 1000 crore: Depreciation provision",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    13.8,
    12.5,
    8.9,
    24.8,
    4.8,
    2.5,
    -3,
    5
   ]
  },
  "rs_500_crore_rs_1000_crore__operating_profit": {
   "label": "₹ 500 crore - ₹ 1000 crore: Operating Profit",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    null,
    null,
    null,
    15.7,
    3.7,
    7.5,
    -8.1,
    -3.6
   ]
  },
  "rs_500_crore_rs_1000_crore__operating_expenses": {
   "label": "₹ 500 crore - ₹ 1000 crore: Operating Expenses",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    15.7,
    0.3,
    3.3,
    7.4,
    4,
    6.2,
    11.3,
    10.9
   ]
  },
  "rs_500_crore_rs_1000_crore__remuneration_to_employees": {
   "label": "₹ 500 crore - ₹ 1000 crore: Remuneration to employees",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    19,
    8.3,
    7.2,
    13.6,
    14,
    9.3,
    10.1,
    9.3
   ]
  },
  "rs_500_crore_rs_1000_crore__manufacturing_expenses": {
   "label": "₹ 500 crore - ₹ 1000 crore: Manufacturing Expenses",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    14.2,
    -1.2,
    2.5,
    5.7,
    -0.5,
    6.1,
    17.3,
    11.5
   ]
  },
  "rs_500_crore_rs_1000_crore__total_income": {
   "label": "₹ 500 crore - ₹ 1000 crore: Total Income",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    13.5,
    -3.2,
    3.7,
    8.1,
    2.7,
    8,
    8.7,
    6.6
   ]
  },
  "rs_500_crore_rs_1000_crore__value_of_production": {
   "label": "₹ 500 crore - ₹ 1000 crore: Value of production",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    13,
    0.2,
    3.1,
    8.8,
    3.9,
    6.3,
    9.4,
    9.8
   ]
  },
  "rs_500_crore_rs_1000_crore__sales": {
   "label": "₹ 500 crore - ₹ 1000 crore: Sales",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    14.3,
    0.8,
    4.2,
    9.5,
    4.2,
    6.4,
    8.7,
    10
   ]
  },
  "rs_100_crore_rs_500_crore__number_of_companies": {
   "label": "₹ 100 crore - ₹ 500 crore: Number of Companies",
   "unit": "count",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    871,
    849,
    1244,
    888,
    1559,
    2249,
    1695,
    1875
   ]
  },
  "rs_100_crore_rs_500_crore__total_net_assets": {
   "label": "₹ 100 crore - ₹ 500 crore: Total net assets",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    11.1,
    7.5,
    5.2,
    8,
    8.6,
    7,
    6.5,
    1.8
   ]
  },
  "rs_100_crore_rs_500_crore__total_gross_assets": {
   "label": "₹ 100 crore - ₹ 500 crore: Total gross assets",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    10.9,
    8.5,
    6.2,
    7.5,
    9.9,
    5.5,
    7.6,
    3.6
   ]
  },
  "rs_100_crore_rs_500_crore__inventories": {
   "label": "₹ 100 crore - ₹ 500 crore: Inventories",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    7,
    5.5,
    8.7,
    4.6,
    0.1,
    2.7,
    5.3,
    7.6
   ]
  },
  "rs_100_crore_rs_500_crore__current_assets": {
   "label": "₹ 100 crore - ₹ 500 crore: Current assets",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    null,
    6.8,
    8.1,
    12.1,
    2.7,
    6.4,
    8.6,
    5.4
   ]
  },
  "rs_100_crore_rs_500_crore__net_fixed_assets": {
   "label": "₹ 100 crore - ₹ 500 crore: Net Fixed Assets",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    8.8,
    6.3,
    3.6,
    6.5,
    11.8,
    6.4,
    2.9,
    -3.3
   ]
  },
  "rs_100_crore_rs_500_crore__gross_fixed_assets": {
   "label": "₹ 100 crore - ₹ 500 crore: Gross fixed assets",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    9,
    8.9,
    6.6,
    5.9,
    13.6,
    3.2,
    6.6,
    2.4
   ]
  },
  "rs_100_crore_rs_500_crore__non_current_assets": {
   "label": "₹ 100 crore - ₹ 500 crore: Non-current assets",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    null,
    8.1,
    3.1,
    5.2,
    13.7,
    7.5,
    4.9,
    -0.7
   ]
  },
  "rs_100_crore_rs_500_crore__current_liabilities": {
   "label": "₹ 100 crore - ₹ 500 crore: Current liabilities",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    null,
    7.3,
    8.4,
    10.3,
    2,
    5.4,
    11.7,
    6.6
   ]
  },
  "rs_100_crore_rs_500_crore__long_term_borrowings": {
   "label": "₹ 100 crore - ₹ 500 crore: Long term borrowings",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    null,
    9.5,
    4.6,
    1.2,
    17.9,
    7.6,
    -3.1,
    -4.9
   ]
  },
  "rs_100_crore_rs_500_crore__borrowings_from_banks": {
   "label": "₹ 100 crore - ₹ 500 crore: Borrowings from banks",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    null,
    10.3,
    6.9,
    1.4,
    1,
    2.3,
    -0.8,
    1.3
   ]
  },
  "rs_100_crore_rs_500_crore__total_borrowings": {
   "label": "₹ 100 crore - ₹ 500 crore: Total borrowings",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    12.5,
    9.8,
    4.9,
    9.5,
    8.4,
    6.9,
    1.5,
    -1.7
   ]
  },
  "rs_100_crore_rs_500_crore__non_current_liabilities": {
   "label": "₹ 100 crore - ₹ 500 crore: Non-current liabilities",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    null,
    9,
    5.7,
    0.1,
    17.1,
    7,
    -1.6,
    -2.6
   ]
  },
  "rs_100_crore_rs_500_crore__net_worth": {
   "label": "₹ 100 crore - ₹ 500 crore: Net worth",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    8,
    7,
    2.1,
    10.8,
    9.6,
    8.7,
    7,
    -0.3
   ]
  },
  "rs_100_crore_rs_500_crore__net_value_added": {
   "label": "₹ 100 crore - ₹ 500 crore: Net Value Added",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    -0.6,
    -2,
    -8.4,
    10.2,
    12.3,
    6.9,
    -11.6,
    18.6
   ]
  },
  "rs_100_crore_rs_500_crore__gross_value_added": {
   "label": "₹ 100 crore - ₹ 500 crore: Gross value added",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    1,
    0.1,
    -6,
    10.5,
    10.9,
    6.1,
    -9.5,
    15.3
   ]
  },
  "rs_100_crore_rs_500_crore__gross_saving": {
   "label": "₹ 100 crore - ₹ 500 crore: Gross saving",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    -16.5,
    -15.9,
    -43.9,
    -1.4,
    13.6,
    3.7,
    -37.6,
    9.8
   ]
  },
  "rs_100_crore_rs_500_crore__profit_retained": {
   "label": "₹ 100 crore - ₹ 500 crore: Profit retained",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    -41.7,
    -63.6,
    -190.4,
    -16.9,
    32,
    6.7,
    -65.4,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__dividend_paid": {
   "label": "₹ 100 crore - ₹ 500 crore: Dividend paid",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    13.1,
    -12.3,
    10.6,
    23.9,
    81.4,
    -73.3,
    144,
    22.8
   ]
  },
  "rs_100_crore_rs_500_crore__profit_after_tax": {
   "label": "₹ 100 crore - ₹ 500 crore: Profit After Tax",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    -29.1,
    -42.8,
    -97.4,
    -8.3,
    46.6,
    -26.6,
    -48.4,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__profit_before_tax": {
   "label": "₹ 100 crore - ₹ 500 crore: Profit Before Tax",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    -19.4,
    -33.1,
    -58.1,
    0.3,
    34.8,
    -13.8,
    -32,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__non_operating_surplus_deficit": {
   "label": "₹ 100 crore - ₹ 500 crore: Non-operating surplus / deficit",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    88.2,
    -14.6,
    163.3,
    -12.8,
    9.2,
    -35.5,
    34,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__profit_before_tax_and_non_operating_surplus_deficit": {
   "label": "₹ 100 crore - ₹ 500 crore: Profit before tax and non-operating surplus/deficit",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    -32,
    -38.3,
    -80.9,
    3,
    42.1,
    -1,
    -67.6,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__interest_expenses": {
   "label": "₹ 100 crore - ₹ 500 crore: Interest Expenses",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    null,
    11.7,
    8.3,
    12.3,
    4.4,
    8.3,
    0.8,
    -0.9
   ]
  },
  "rs_100_crore_rs_500_crore__gross_profit_ebit": {
   "label": "₹ 100 crore - ₹ 500 crore: Gross profit (EBIT)",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    -7.1,
    -11.1,
    -26.6,
    8,
    18.2,
    5.1,
    -28.3,
    28.1
   ]
  },
  "rs_100_crore_rs_500_crore__depreciation_provision": {
   "label": "₹ 100 crore - ₹ 500 crore: Depreciation provision",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    9.1,
    9.6,
    5.6,
    12,
    5.1,
    2.3,
    1.6,
    2.9
   ]
  },
  "rs_100_crore_rs_500_crore__operating_profit": {
   "label": "₹ 100 crore - ₹ 500 crore: Operating Profit",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    null,
    null,
    null,
    8.3,
    12.5,
    4.2,
    -24.7,
    26.4
   ]
  },
  "rs_100_crore_rs_500_crore__operating_expenses": {
   "label": "₹ 100 crore - ₹ 500 crore: Operating Expenses",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    12.7,
    1.1,
    5.5,
    6,
    0,
    1.3,
    6.9,
    8.6
   ]
  },
  "rs_100_crore_rs_500_crore__remuneration_to_employees": {
   "label": "₹ 100 crore - ₹ 500 crore: Remuneration to employees",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    14.5,
    9,
    8.8,
    14.2,
    8.9,
    9.5,
    7.9,
    7.6
   ]
  },
  "rs_100_crore_rs_500_crore__manufacturing_expenses": {
   "label": "₹ 100 crore - ₹ 500 crore: Manufacturing Expenses",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    11.1,
    null,
    2.1,
    4.4,
    -3.6,
    -0.5,
    8.8,
    11.2
   ],
   "gaps": [
    "2012-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_100_crore_rs_500_crore__total_income": {
   "label": "₹ 100 crore - ₹ 500 crore: Total Income",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    11,
    0.2,
    3.3,
    6.3,
    1.9,
    1.1,
    4,
    8.1
   ]
  },
  "rs_100_crore_rs_500_crore__value_of_production": {
   "label": "₹ 100 crore - ₹ 500 crore: Value of production",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    8.8,
    0.5,
    2.7,
    6.3,
    1.4,
    1.6,
    3.5,
    10.3
   ]
  },
  "rs_100_crore_rs_500_crore__sales": {
   "label": "₹ 100 crore - ₹ 500 crore: Sales",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    9.5,
    1.6,
    2.2,
    6.4,
    1.7,
    2.1,
    3.2,
    10.4
   ]
  },
  "rs_50_crore_rs_100_crore__number_of_companies": {
   "label": "₹ 50 crore - ₹ 100 crore: Number of Companies",
   "unit": "count",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    390,
    376,
    500,
    766,
    1077,
    1462,
    1016,
    1048
   ]
  },
  "rs_50_crore_rs_100_crore__total_net_assets": {
   "label": "₹ 50 crore - ₹ 100 crore: Total net assets",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    8.5,
    3.7,
    2.1,
    6.2,
    4.5,
    2.3,
    6.4,
    3.3
   ]
  },
  "rs_50_crore_rs_100_crore__total_gross_assets": {
   "label": "₹ 50 crore - ₹ 100 crore: Total gross assets",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    8.6,
    4.3,
    3,
    7.3,
    8.1,
    2.4,
    7.6,
    4.2
   ]
  },
  "rs_50_crore_rs_100_crore__inventories": {
   "label": "₹ 50 crore - ₹ 100 crore: Inventories",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    4.2,
    -1.7,
    2.7,
    3.6,
    -0.9,
    -10.8,
    25,
    11.4
   ]
  },
  "rs_50_crore_rs_100_crore__current_assets": {
   "label": "₹ 50 crore - ₹ 100 crore: Current assets",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    null,
    2,
    0.4,
    9.2,
    3.9,
    -1.4,
    11.1,
    6.8
   ]
  },
  "rs_50_crore_rs_100_crore__net_fixed_assets": {
   "label": "₹ 50 crore - ₹ 100 crore: Net Fixed Assets",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    2.7,
    -3.3,
    -2,
    10.4,
    1.6,
    -1.1,
    -2.3,
    -0.9
   ]
  },
  "rs_50_crore_rs_100_crore__gross_fixed_assets": {
   "label": "₹ 50 crore - ₹ 100 crore: Gross fixed assets",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    4.9,
    0.6,
    1.7,
    11.5,
    9.5,
    0.7,
    3.9,
    2.6
   ]
  },
  "rs_50_crore_rs_100_crore__non_current_assets": {
   "label": "₹ 50 crore - ₹ 100 crore: Non-current assets",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    null,
    4.6,
    3.2,
    4.4,
    4.9,
    5.5,
    1.6,
    0.4
   ]
  },
  "rs_50_crore_rs_100_crore__current_liabilities": {
   "label": "₹ 50 crore - ₹ 100 crore: Current liabilities",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    null,
    7.5,
    13,
    9.7,
    8.2,
    6,
    11,
    10.4
   ]
  },
  "rs_50_crore_rs_100_crore__long_term_borrowings": {
   "label": "₹ 50 crore - ₹ 100 crore: Long term borrowings",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    null,
    -5.2,
    -1.6,
    4.2,
    0.7,
    -3.9,
    0.3,
    -1.6
   ]
  },
  "rs_50_crore_rs_100_crore__borrowings_from_banks": {
   "label": "₹ 50 crore - ₹ 100 crore: Borrowings from banks",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    null,
    2.6,
    1.6,
    3.2,
    -3.2,
    -14.3,
    9.9,
    -2.7
   ]
  },
  "rs_50_crore_rs_100_crore__total_borrowings": {
   "label": "₹ 50 crore - ₹ 100 crore: Total borrowings",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    4.6,
    -2,
    4.5,
    10.6,
    3.4,
    -1.4,
    10,
    0.9
   ]
  },
  "rs_50_crore_rs_100_crore__non_current_liabilities": {
   "label": "₹ 50 crore - ₹ 100 crore: Non-current liabilities",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    null,
    -4,
    0.1,
    4.6,
    2.7,
    -2.9,
    1.9,
    -1.7
   ]
  },
  "rs_50_crore_rs_100_crore__net_worth": {
   "label": "₹ 50 crore - ₹ 100 crore: Net worth",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    12.1,
    5,
    -3,
    4.1,
    2.6,
    1.8,
    3.7,
    0.9
   ]
  },
  "rs_50_crore_rs_100_crore__net_value_added": {
   "label": "₹ 50 crore - ₹ 100 crore: Net Value Added",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -14.5,
    -5.8,
    -9.8,
    8.2,
    4.3,
    7.4,
    -24.9,
    7.4
   ]
  },
  "rs_50_crore_rs_100_crore__gross_value_added": {
   "label": "₹ 50 crore - ₹ 100 crore: Gross value added",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -12.4,
    -2.8,
    -7.7,
    10.6,
    3.5,
    6.3,
    -21,
    6.6
   ]
  },
  "rs_50_crore_rs_100_crore__gross_saving": {
   "label": "₹ 50 crore - ₹ 100 crore: Gross saving",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -44.4,
    -137.6,
    -51,
    -6.4,
    1,
    -7.5,
    -84.7,
    74.1
   ]
  },
  "rs_50_crore_rs_100_crore__profit_retained": {
   "label": "₹ 50 crore - ₹ 100 crore: Profit retained",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -125.7,
    null,
    null,
    -37.1,
    1,
    -34.7,
    null,
    null
   ],
   "gaps": [
    "2012-04-01",
    "2013-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_50_crore_rs_100_crore__dividend_paid": {
   "label": "₹ 50 crore - ₹ 100 crore: Dividend paid",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    29.4,
    -16,
    18.5,
    12.4,
    71.4,
    -75.1,
    47.6,
    27.9
   ]
  },
  "rs_50_crore_rs_100_crore__profit_after_tax": {
   "label": "₹ 50 crore - ₹ 100 crore: Profit After Tax",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -81.1,
    null,
    null,
    -26.3,
    18.2,
    -52,
    null,
    null
   ],
   "gaps": [
    "2012-04-01",
    "2013-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_50_crore_rs_100_crore__profit_before_tax": {
   "label": "₹ 50 crore - ₹ 100 crore: Profit Before Tax",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -47.3,
    null,
    -98.1,
    -15.1,
    20.2,
    -28.7,
    -129.1,
    null
   ],
   "gaps": [
    "2012-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_50_crore_rs_100_crore__non_operating_surplus_deficit": {
   "label": "₹ 50 crore - ₹ 100 crore: Non-operating surplus / deficit",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    126.3,
    -79,
    null,
    -92.3,
    149.2,
    -26.2,
    27.3,
    null
   ],
   "gaps": [
    "2013-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_50_crore_rs_100_crore__profit_before_tax_and_non_operating_surplus_deficit": {
   "label": "₹ 50 crore - ₹ 100 crore: Profit before tax and non-operating surplus/deficit",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -109.5,
    null,
    -78.5,
    -3.9,
    6.4,
    -34.1,
    null,
    -95.4
   ],
   "gaps": [
    "2012-04-01",
    "2017-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_50_crore_rs_100_crore__interest_expenses": {
   "label": "₹ 50 crore - ₹ 100 crore: Interest Expenses",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    null,
    2.5,
    10.3,
    27.2,
    3.2,
    5.3,
    -7.6,
    25.8
   ]
  },
  "rs_50_crore_rs_100_crore__gross_profit_ebit": {
   "label": "₹ 50 crore - ₹ 100 crore: Gross profit (EBIT)",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -40.2,
    -27.5,
    -21.4,
    11.9,
    4.5,
    -0.6,
    -54.4,
    1.6
   ]
  },
  "rs_50_crore_rs_100_crore__depreciation_provision": {
   "label": "₹ 50 crore - ₹ 100 crore: Depreciation provision",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -4.5,
    3.6,
    -0.3,
    19.3,
    1.1,
    1.9,
    -5.1,
    3
   ]
  },
  "rs_50_crore_rs_100_crore__operating_profit": {
   "label": "₹ 50 crore - ₹ 100 crore: Operating Profit",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    null,
    null,
    null,
    11.6,
    -1.7,
    6.2,
    -56.7,
    8.7
   ]
  },
  "rs_50_crore_rs_100_crore__operating_expenses": {
   "label": "₹ 50 crore - ₹ 100 crore: Operating Expenses",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -2.2,
    -12.2,
    -4.9,
    10.5,
    1.9,
    0.5,
    6.5,
    4.7
   ]
  },
  "rs_50_crore_rs_100_crore__remuneration_to_employees": {
   "label": "₹ 50 crore - ₹ 100 crore: Remuneration to employees",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    8.1,
    4,
    5.5,
    5.4,
    8.8,
    7,
    8.9,
    11.2
   ]
  },
  "rs_50_crore_rs_100_crore__manufacturing_expenses": {
   "label": "₹ 50 crore - ₹ 100 crore: Manufacturing Expenses",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -6,
    -16.9,
    -7.3,
    9.2,
    -1.9,
    1.5,
    6.1,
    4.5
   ]
  },
  "rs_50_crore_rs_100_crore__total_income": {
   "label": "₹ 50 crore - ₹ 100 crore: Total Income",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -3.8,
    -13,
    -5.7,
    10.2,
    3,
    -0.2,
    1,
    7.4
   ]
  },
  "rs_50_crore_rs_100_crore__value_of_production": {
   "label": "₹ 50 crore - ₹ 100 crore: Value of production",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -5.2,
    -12.7,
    -5.3,
    10.6,
    1.4,
    0.9,
    1.7,
    5.2
   ]
  },
  "rs_50_crore_rs_100_crore__sales": {
   "label": "₹ 50 crore - ₹ 100 crore: Sales",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -5.4,
    -12.5,
    -7.1,
    10.8,
    1.7,
    0.5,
    1.2,
    5.1
   ]
  },
  "rs_25_crore_rs_50_crore__number_of_companies": {
   "label": "₹ 25 crore- ₹ 50 crore: Number of Companies",
   "unit": "count",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    298,
    307,
    469,
    904,
    1194,
    1568,
    963,
    1001
   ]
  },
  "rs_25_crore_rs_50_crore__total_net_assets": {
   "label": "₹ 25 crore- ₹ 50 crore: Total net assets",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    6.7,
    8.5,
    -0.7,
    7.9,
    5,
    2.7,
    5.9,
    -0.8
   ]
  },
  "rs_25_crore_rs_50_crore__total_gross_assets": {
   "label": "₹ 25 crore- ₹ 50 crore: Total gross assets",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    7,
    8.7,
    0,
    8.7,
    10.3,
    2.8,
    6.4,
    0.7
   ]
  },
  "rs_25_crore_rs_50_crore__inventories": {
   "label": "₹ 25 crore- ₹ 50 crore: Inventories",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    8.2,
    12.9,
    4.7,
    2.6,
    0.9,
    -0.5,
    6.4,
    -18.5
   ]
  },
  "rs_25_crore_rs_50_crore__current_assets": {
   "label": "₹ 25 crore- ₹ 50 crore: Current assets",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    2.3,
    -5.5,
    11.3,
    2.3,
    2.1,
    8,
    -7.5
   ]
  },
  "rs_25_crore_rs_50_crore__net_fixed_assets": {
   "label": "₹ 25 crore- ₹ 50 crore: Net Fixed Assets",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    4.4,
    19.3,
    3.2,
    8,
    5.9,
    1.4,
    3.2,
    -1.3
   ]
  },
  "rs_25_crore_rs_50_crore__gross_fixed_assets": {
   "label": "₹ 25 crore- ₹ 50 crore: Gross fixed assets",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    6.2,
    16.3,
    4,
    9.6,
    18.8,
    1.9,
    5.5,
    3.3
   ]
  },
  "rs_25_crore_rs_50_crore__non_current_assets": {
   "label": "₹ 25 crore- ₹ 50 crore: Non-current assets",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    12.2,
    1.8,
    6.2,
    6.6,
    3.2,
    4.2,
    7.1
   ]
  },
  "rs_25_crore_rs_50_crore__current_liabilities": {
   "label": "₹ 25 crore- ₹ 50 crore: Current liabilities",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    23.2,
    -10.6,
    10.3,
    6.4,
    7.2,
    8,
    -5.8
   ]
  },
  "rs_25_crore_rs_50_crore__long_term_borrowings": {
   "label": "₹ 25 crore- ₹ 50 crore: Long term borrowings",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    7.2,
    21.5,
    9.2,
    10.4,
    -2.4,
    2.1,
    -1.6
   ]
  },
  "rs_25_crore_rs_50_crore__borrowings_from_banks": {
   "label": "₹ 25 crore- ₹ 50 crore: Borrowings from banks",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    -4.5,
    29.2,
    8,
    4.2,
    -6.4,
    2.3,
    -12.8
   ]
  },
  "rs_25_crore_rs_50_crore__total_borrowings": {
   "label": "₹ 25 crore- ₹ 50 crore: Total borrowings",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    2.3,
    4.1,
    8.5,
    11,
    7.2,
    1.6,
    4,
    -9.6
   ]
  },
  "rs_25_crore_rs_50_crore__non_current_liabilities": {
   "label": "₹ 25 crore- ₹ 50 crore: Non-current liabilities",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    6.8,
    19.4,
    6,
    10.3,
    -0.6,
    1.7,
    -1.3
   ]
  },
  "rs_25_crore_rs_50_crore__net_worth": {
   "label": "₹ 25 crore- ₹ 50 crore: Net worth",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    13,
    -0.3,
    -3.6,
    7,
    0.6,
    1.7,
    6.5,
    7.2
   ]
  },
  "rs_25_crore_rs_50_crore__net_value_added": {
   "label": "₹ 25 crore- ₹ 50 crore: Net Value Added",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -1.9,
    -2.4,
    -22.3,
    9.1,
    5.3,
    30.3,
    -15,
    -3.6
   ]
  },
  "rs_25_crore_rs_50_crore__gross_value_added": {
   "label": "₹ 25 crore- ₹ 50 crore: Gross value added",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -3.8,
    0.5,
    -18.5,
    11.3,
    3.4,
    23,
    -12.3,
    -0.5
   ]
  },
  "rs_25_crore_rs_50_crore__gross_saving": {
   "label": "₹ 25 crore- ₹ 50 crore: Gross saving",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -7.5,
    -43.2,
    -139,
    9.4,
    -13.1,
    30.1,
    -62.6,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__profit_retained": {
   "label": "₹ 25 crore- ₹ 50 crore: Profit retained",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    null,
    null,
    1.3,
    -30.2,
    null,
    null,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__dividend_paid": {
   "label": "₹ 25 crore- ₹ 50 crore: Dividend paid",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -0.8,
    -13.3,
    -41.8,
    31.1,
    -59.2,
    -57.9,
    136.1,
    16.9
   ]
  },
  "rs_25_crore_rs_50_crore__profit_after_tax": {
   "label": "₹ 25 crore- ₹ 50 crore: Profit After Tax",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    -237.6,
    null,
    3.1,
    -35.3,
    null,
    null,
    null
   ],
   "gaps": [
    "2013-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_25_crore_rs_50_crore__profit_before_tax": {
   "label": "₹ 25 crore- ₹ 50 crore: Profit Before Tax",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    11.6,
    -101,
    -210.6,
    6,
    -23.4,
    null,
    -110.3,
    null
   ],
   "gaps": [
    "2016-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_25_crore_rs_50_crore__non_operating_surplus_deficit": {
   "label": "₹ 25 crore- ₹ 50 crore: Non-operating surplus / deficit",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -9.1,
    -51.4,
    -122.6,
    26,
    -58,
    -45.2,
    36.8,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__profit_before_tax_and_non_operating_surplus_deficit": {
   "label": "₹ 25 crore- ₹ 50 crore: Profit before tax and non-operating surplus/deficit",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    null,
    null,
    3.4,
    -18.3,
    null,
    null,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__interest_expenses": {
   "label": "₹ 25 crore- ₹ 50 crore: Interest Expenses",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    4.8,
    3.2,
    10.1,
    13.6,
    -0.2,
    null,
    11.6
   ],
   "gaps": [
    "2017-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_25_crore_rs_50_crore__gross_profit_ebit": {
   "label": "₹ 25 crore- ₹ 50 crore: Gross profit (EBIT)",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    5.7,
    -20.4,
    -36.2,
    6.8,
    0.2,
    86.5,
    -55.7,
    -12.7
   ]
  },
  "rs_25_crore_rs_50_crore__depreciation_provision": {
   "label": "₹ 25 crore- ₹ 50 crore: Depreciation provision",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -8.6,
    9.6,
    -2.5,
    20.7,
    -2.1,
    1.3,
    -1.7,
    11.9
   ]
  },
  "rs_25_crore_rs_50_crore__operating_profit": {
   "label": "₹ 25 crore- ₹ 50 crore: Operating Profit",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    null,
    null,
    null,
    12.5,
    -0.7,
    58.4,
    -44.8,
    18.9
   ]
  },
  "rs_25_crore_rs_50_crore__operating_expenses": {
   "label": "₹ 25 crore- ₹ 50 crore: Operating Expenses",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -3.8,
    -10.4,
    -9.4,
    6.6,
    -0.4,
    -6.1,
    3.1,
    1.3
   ]
  },
  "rs_25_crore_rs_50_crore__remuneration_to_employees": {
   "label": "₹ 25 crore- ₹ 50 crore: Remuneration to employees",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    5.3,
    7.5,
    -10.7,
    11.8,
    8.5,
    9.6,
    7.6,
    4.7
   ]
  },
  "rs_25_crore_rs_50_crore__manufacturing_expenses": {
   "label": "₹ 25 crore- ₹ 50 crore: Manufacturing Expenses",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -6.2,
    -14.7,
    -10.6,
    4.8,
    -3.6,
    -8.7,
    3.7,
    2.7
   ]
  },
  "rs_25_crore_rs_50_crore__total_income": {
   "label": "₹ 25 crore- ₹ 50 crore: Total Income",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -3.9,
    -11.3,
    -15,
    7.3,
    -0.8,
    -4.9,
    0.1,
    1.3
   ]
  },
  "rs_25_crore_rs_50_crore__value_of_production": {
   "label": "₹ 25 crore- ₹ 50 crore: Value of production",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -5.1,
    -11.2,
    -12.5,
    7.4,
    -0.5,
    -3.8,
    -0.1,
    3.8
   ]
  },
  "rs_25_crore_rs_50_crore__sales": {
   "label": "₹ 25 crore- ₹ 50 crore: Sales",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -6.8,
    -14,
    -12.6,
    8.4,
    0.2,
    -3.4,
    0.1,
    4.3
   ]
  },
  "less_than_rs_25_crore__number_of_companies": {
   "label": "Less than ₹ 25 crore: Number of Companies",
   "unit": "count",
   "group": "Less than ₹ 25 crore",
   "data": [
    668,
    763,
    1239,
    13769,
    14905,
    18163,
    11517,
    10873
   ]
  },
  "less_than_rs_25_crore__total_net_assets": {
   "label": "Less than ₹ 25 crore: Total net assets",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    14.1,
    5.6,
    25,
    13.1,
    7.9,
    19.9,
    5.8,
    2.2
   ]
  },
  "less_than_rs_25_crore__total_gross_assets": {
   "label": "Less than ₹ 25 crore: Total gross assets",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    13.3,
    5.4,
    23.1,
    13.2,
    9.9,
    19.1,
    6.3,
    2.2
   ]
  },
  "less_than_rs_25_crore__inventories": {
   "label": "Less than ₹ 25 crore: Inventories",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -1.7,
    4.3,
    4.6,
    9.2,
    7.9,
    -1.3,
    3.2,
    10.3
   ]
  },
  "less_than_rs_25_crore__current_assets": {
   "label": "Less than ₹ 25 crore: Current assets",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    -6.7,
    4.5,
    7.3,
    14.8,
    14.4,
    3.9,
    7.2
   ]
  },
  "less_than_rs_25_crore__net_fixed_assets": {
   "label": "Less than ₹ 25 crore: Net Fixed Assets",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -4.8,
    1,
    40.8,
    22.5,
    10.8,
    35.6,
    10.4,
    2.1
   ]
  },
  "less_than_rs_25_crore__gross_fixed_assets": {
   "label": "Less than ₹ 25 crore: Gross fixed assets",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -1.7,
    2,
    33.5,
    21.9,
    15,
    31.5,
    11,
    2
   ]
  },
  "less_than_rs_25_crore__non_current_assets": {
   "label": "Less than ₹ 25 crore: Non-current assets",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    9.8,
    31.9,
    14.8,
    5.8,
    22.1,
    6.9,
    null
   ]
  },
  "less_than_rs_25_crore__current_liabilities": {
   "label": "Less than ₹ 25 crore: Current liabilities",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    22.9,
    14.8,
    14.2,
    7.3,
    18.8,
    9.5,
    6.6
   ]
  },
  "less_than_rs_25_crore__long_term_borrowings": {
   "label": "Less than ₹ 25 crore: Long term borrowings",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    -2.3,
    19.4,
    23.4,
    19.8,
    13.3,
    -1.4,
    10.8
   ]
  },
  "less_than_rs_25_crore__borrowings_from_banks": {
   "label": "Less than ₹ 25 crore: Borrowings from banks",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    -6.6,
    70.9,
    17.3,
    12.5,
    null,
    7.7,
    6.8
   ],
   "gaps": [
    "2016-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "less_than_rs_25_crore__total_borrowings": {
   "label": "Less than ₹ 25 crore: Total borrowings",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -1.3,
    15.5,
    14.2,
    23.4,
    15.3,
    10.7,
    6.6,
    8.4
   ]
  },
  "less_than_rs_25_crore__non_current_liabilities": {
   "label": "Less than ₹ 25 crore: Non-current liabilities",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    1.8,
    21.4,
    20,
    17,
    16,
    -8,
    7.9
   ]
  },
  "less_than_rs_25_crore__net_worth": {
   "label": "Less than ₹ 25 crore: Net worth",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    12.2,
    0.7,
    32.6,
    6.3,
    1.9,
    24.5,
    12,
    -4.6
   ]
  },
  "less_than_rs_25_crore__net_value_added": {
   "label": "Less than ₹ 25 crore: Net Value Added",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    11.1,
    6.2,
    -19.5,
    7,
    -14.4,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__gross_value_added": {
   "label": "Less than ₹ 25 crore: Gross value added",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    13.5,
    1.1,
    -16.2,
    10.2,
    -13,
    null,
    null,
    9.3
   ],
   "gaps": [
    "2016-04-01",
    "2017-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "less_than_rs_25_crore__dividend_paid": {
   "label": "Less than ₹ 25 crore: Dividend paid",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    10.8,
    10.4,
    37.2,
    -85.8,
    48.8,
    -42.2,
    6.2,
    null
   ]
  },
  "less_than_rs_25_crore__profit_after_tax": {
   "label": "Less than ₹ 25 crore: Profit After Tax",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    null,
    null,
    -70.3,
    null,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__profit_before_tax": {
   "label": "Less than ₹ 25 crore: Profit Before Tax",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    null,
    null,
    -9.7,
    null,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__non_operating_surplus_deficit": {
   "label": "Less than ₹ 25 crore: Non-operating surplus / deficit",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -13.7,
    -93,
    null,
    -43.9,
    null,
    -42.9,
    14.2,
    null
   ],
   "gaps": [
    "2013-04-01",
    "2015-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "less_than_rs_25_crore__profit_before_tax_and_non_operating_surplus_deficit": {
   "label": "Less than ₹ 25 crore: Profit before tax and non-operating surplus/deficit",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    null,
    null,
    122.9,
    null,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__interest_expenses": {
   "label": "Less than ₹ 25 crore: Interest Expenses",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    -5.9,
    2.3,
    17.7,
    11,
    8.1,
    -3.2,
    -48.5
   ]
  },
  "less_than_rs_25_crore__gross_profit_ebit": {
   "label": "Less than ₹ 25 crore: Gross profit (EBIT)",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    63.4,
    -54.5,
    23.8,
    -21.5,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__depreciation_provision": {
   "label": "Less than ₹ 25 crore: Depreciation provision",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    16.6,
    -7.7,
    -9.9,
    14.9,
    -10.9,
    -4.1,
    -5.1,
    -8.9
   ]
  },
  "less_than_rs_25_crore__operating_profit": {
   "label": "Less than ₹ 25 crore: Operating Profit",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    null,
    null,
    4.1,
    -37.4,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__operating_expenses": {
   "label": "Less than ₹ 25 crore: Operating Expenses",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -22.8,
    -23.1,
    -26.4,
    -8.8,
    -9.3,
    -14.9,
    -3.6,
    -20.8
   ]
  },
  "less_than_rs_25_crore__remuneration_to_employees": {
   "label": "Less than ₹ 25 crore: Remuneration to employees",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    0.1,
    -2.8,
    -4,
    4.1,
    4.5,
    null,
    null,
    -5
   ],
   "gaps": [
    "2016-04-01",
    "2017-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "less_than_rs_25_crore__manufacturing_expenses": {
   "label": "Less than ₹ 25 crore: Manufacturing Expenses",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -31.4,
    -35.6,
    -36.5,
    -14.8,
    -16.2,
    -22.4,
    -25.4,
    -36.7
   ]
  },
  "less_than_rs_25_crore__total_income": {
   "label": "Less than ₹ 25 crore: Total Income",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -19.3,
    -24.3,
    -24.3,
    -4.7,
    -10.6,
    -19.2,
    -35.5,
    -18.6
   ]
  },
  "less_than_rs_25_crore__value_of_production": {
   "label": "Less than ₹ 25 crore: Value of production",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -21.7,
    -28.5,
    -28.4,
    -8.1,
    -11.8,
    -21.9,
    -57.7,
    -30.2
   ]
  },
  "less_than_rs_25_crore__sales": {
   "label": "Less than ₹ 25 crore: Sales",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -22.6,
    -32.3,
    -28.9,
    -8.8,
    -14.4,
    -23.1,
    -58.2,
    -30.6
   ]
  },
  "rs_1000_crore_and_above__ebitda": {
   "label": "₹ 1000 crore & above: EBITDA",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    -4.2,
    4,
    8.4,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_1000_crore_and_above__total_earnings_in_foreign_currencies": {
   "label": "₹ 1000 crore & above: Total earnings in foreign currencies",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    29.9,
    16.8,
    16,
    null,
    -4.2,
    12.9,
    6,
    17.1
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_1000_crore_and_above__of_which_exports": {
   "label": "₹ 1000 crore & above: of which, Exports",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    30.8,
    14.5,
    13.3,
    null,
    -17.3,
    -45.2,
    -3.5,
    10.3
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_1000_crore_and_above__total_expenditure_in_foreign_currencies": {
   "label": "₹ 1000 crore & above: Total expenditure in foreign currencies",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    25.8,
    13.5,
    6.8,
    null,
    -16,
    -26.7,
    6.1,
    27
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_1000_crore_and_above__of_which_imports": {
   "label": "₹ 1000 crore & above: of which, Imports",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    28.5,
    11.5,
    3.8,
    null,
    -23,
    -75.5,
    -19.1,
    10.5
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "less_than_rs_25_crore__ebitda": {
   "label": "Less than ₹ 25 crore: EBITDA",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    null,
    null,
    -100,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__total_earnings_in_foreign_currencies": {
   "label": "Less than ₹ 25 crore: Total earnings in foreign currencies",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -25.3,
    -32.8,
    -31.1,
    null,
    -19.9,
    -37.4,
    -16.3,
    -13.2
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "less_than_rs_25_crore__of_which_exports": {
   "label": "Less than ₹ 25 crore: of which, Exports",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -30,
    -52.1,
    -45.6,
    null,
    -16.7,
    -67.9,
    -19.4,
    -30.4
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "less_than_rs_25_crore__total_expenditure_in_foreign_currencies": {
   "label": "Less than ₹ 25 crore: Total expenditure in foreign currencies",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -34.5,
    -38.3,
    -49.6,
    null,
    6.6,
    156,
    -15.5,
    -31.3
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "less_than_rs_25_crore__of_which_imports": {
   "label": "Less than ₹ 25 crore: of which, Imports",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -52.2,
    -27.4,
    -58.7,
    null,
    -5.7,
    180.8,
    -38.2,
    -26.1
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_25_crore_rs_50_crore__ebitda": {
   "label": "₹ 25 crore- ₹ 50 crore: EBITDA",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -31,
    -20.1,
    -37.7,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__total_earnings_in_foreign_currencies": {
   "label": "₹ 25 crore- ₹ 50 crore: Total earnings in foreign currencies",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -5.3,
    -8.9,
    1.4,
    null,
    1.4,
    -21.9,
    -0.9,
    3
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_25_crore_rs_50_crore__of_which_exports": {
   "label": "₹ 25 crore- ₹ 50 crore: of which, Exports",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -7.5,
    -16.2,
    8.9,
    null,
    -2.1,
    -25,
    -12.2,
    1.9
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_25_crore_rs_50_crore__total_expenditure_in_foreign_currencies": {
   "label": "₹ 25 crore- ₹ 50 crore: Total expenditure in foreign currencies",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -1.8,
    -26.1,
    -48.6,
    null,
    -18.5,
    -41.1,
    -15.2,
    -15.3
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_25_crore_rs_50_crore__of_which_imports": {
   "label": "₹ 25 crore- ₹ 50 crore: of which, Imports",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -15.2,
    -26.7,
    -54.1,
    null,
    -21.6,
    -42.9,
    -41.6,
    -17.3
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_50_crore_rs_100_crore__ebitda": {
   "label": "₹ 50 crore - ₹ 100 crore: EBITDA",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -37.2,
    -22.9,
    -9.4,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_50_crore_rs_100_crore__total_earnings_in_foreign_currencies": {
   "label": "₹ 50 crore - ₹ 100 crore: Total earnings in foreign currencies",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -9.6,
    -6.6,
    2,
    null,
    10.5,
    -25.1,
    -17.6,
    3.3
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_50_crore_rs_100_crore__of_which_exports": {
   "label": "₹ 50 crore - ₹ 100 crore: of which, Exports",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    -7.5,
    -6.1,
    11.6,
    null,
    11,
    -32.8,
    -31.4,
    7.2
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_50_crore_rs_100_crore__total_expenditure_in_foreign_currencies": {
   "label": "₹ 50 crore - ₹ 100 crore: Total expenditure in foreign currencies",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    6.7,
    -20.8,
    6.8,
    null,
    4.1,
    -19.6,
    -14.5,
    -12.6
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_50_crore_rs_100_crore__of_which_imports": {
   "label": "₹ 50 crore - ₹ 100 crore: of which, Imports",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    9.2,
    -22.1,
    2.2,
    null,
    -1.2,
    -19,
    -16.1,
    -7
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_100_crore_rs_500_crore__ebitda": {
   "label": "₹ 100 crore - ₹ 500 crore: EBITDA",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    -50,
    -8.2,
    -21.5,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__total_earnings_in_foreign_currencies": {
   "label": "₹ 100 crore - ₹ 500 crore: Total earnings in foreign currencies",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    10.4,
    -11.2,
    8.6,
    null,
    -3.9,
    -1.5,
    -4.3,
    27.9
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_100_crore_rs_500_crore__of_which_exports": {
   "label": "₹ 100 crore - ₹ 500 crore: of which, Exports",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    7.7,
    -14.7,
    6.9,
    null,
    -2.1,
    -6.8,
    -30.1,
    4.5
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_100_crore_rs_500_crore__total_expenditure_in_foreign_currencies": {
   "label": "₹ 100 crore - ₹ 500 crore: Total expenditure in foreign currencies",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    11.7,
    -7.1,
    6,
    null,
    -82.4,
    -23.1,
    -21.2,
    14.4
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_100_crore_rs_500_crore__of_which_imports": {
   "label": "₹ 100 crore - ₹ 500 crore: of which, Imports",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    11.7,
    -9.2,
    2.4,
    null,
    33.9,
    -22.6,
    -34.3,
    12.4
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_500_crore_rs_1000_crore__ebitda": {
   "label": "₹ 500 crore - ₹ 1000 crore: EBITDA",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    -13.4,
    -1,
    1.2,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_500_crore_rs_1000_crore__total_earnings_in_foreign_currencies": {
   "label": "₹ 500 crore - ₹ 1000 crore: Total earnings in foreign currencies",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    17.8,
    4.9,
    13.9,
    null,
    9.5,
    -7.2,
    -3.2,
    20.8
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_500_crore_rs_1000_crore__of_which_exports": {
   "label": "₹ 500 crore - ₹ 1000 crore: of which, Exports",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    15,
    6.6,
    13,
    null,
    11.5,
    -11.9,
    -30.8,
    14.3
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_500_crore_rs_1000_crore__total_expenditure_in_foreign_currencies": {
   "label": "₹ 500 crore - ₹ 1000 crore: Total expenditure in foreign currencies",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    13,
    -6.4,
    -11.9,
    null,
    9,
    -9.4,
    -18.9,
    20.3
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "rs_500_crore_rs_1000_crore__of_which_imports": {
   "label": "₹ 500 crore - ₹ 1000 crore: of which, Imports",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    14.6,
    1.9,
    -10.8,
    null,
    9.9,
    -17.3,
    -39.1,
    11.8
   ],
   "gaps": [
    "2014-04-01"
   ],
   "gapsNote": "No figure in this year's study for this item or cut (not published, or the cut had no companies); left empty."
  },
  "less_than_rs_25_crore__interest": {
   "label": "Less than ₹ 25 crore: Interest",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -0.1,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__tax_provision": {
   "label": "Less than ₹ 25 crore: Tax provision",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -24,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__of_which_from_banks": {
   "label": "Less than ₹ 25 crore: of which, from banks",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -4.4,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__trade_dues_and_other_current_liabilities": {
   "label": "Less than ₹ 25 crore: Trade dues and other current liabilities",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    54.7,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__gross_physical_assets": {
   "label": "Less than ₹ 25 crore: Gross physical assets",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -1.7,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "less_than_rs_25_crore__net_physical_assets": {
   "label": "Less than ₹ 25 crore: Net physical assets",
   "unit": "pct",
   "group": "Less than ₹ 25 crore",
   "data": [
    -4.3,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__interest": {
   "label": "₹ 25 crore- ₹ 50 crore: Interest",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -2.4,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__tax_provision": {
   "label": "₹ 25 crore- ₹ 50 crore: Tax provision",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -4.3,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__of_which_from_banks": {
   "label": "₹ 25 crore- ₹ 50 crore: of which, from banks",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    3.1,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__trade_dues_and_other_current_liabilities": {
   "label": "₹ 25 crore- ₹ 50 crore: Trade dues and other current liabilities",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    -0.1,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__gross_physical_assets": {
   "label": "₹ 25 crore- ₹ 50 crore: Gross physical assets",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    6.6,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_25_crore_rs_50_crore__net_physical_assets": {
   "label": "₹ 25 crore- ₹ 50 crore: Net physical assets",
   "unit": "pct",
   "group": "₹ 25 crore- ₹ 50 crore",
   "data": [
    5.4,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_50_crore_rs_100_crore__interest": {
   "label": "₹ 50 crore - ₹ 100 crore: Interest",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    11.3,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_50_crore_rs_100_crore__tax_provision": {
   "label": "₹ 50 crore - ₹ 100 crore: Tax provision",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    14.9,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_50_crore_rs_100_crore__of_which_from_banks": {
   "label": "₹ 50 crore - ₹ 100 crore: of which, from banks",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    0.4,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_50_crore_rs_100_crore__trade_dues_and_other_current_liabilities": {
   "label": "₹ 50 crore - ₹ 100 crore: Trade dues and other current liabilities",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    2.4,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_50_crore_rs_100_crore__gross_physical_assets": {
   "label": "₹ 50 crore - ₹ 100 crore: Gross physical assets",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    4.7,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_50_crore_rs_100_crore__net_physical_assets": {
   "label": "₹ 50 crore - ₹ 100 crore: Net physical assets",
   "unit": "pct",
   "group": "₹ 50 crore - ₹ 100 crore",
   "data": [
    3.2,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__interest": {
   "label": "₹ 100 crore - ₹ 500 crore: Interest",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    28.8,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__tax_provision": {
   "label": "₹ 100 crore - ₹ 500 crore: Tax provision",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    3.1,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__of_which_from_banks": {
   "label": "₹ 100 crore - ₹ 500 crore: of which, from banks",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    9.1,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__trade_dues_and_other_current_liabilities": {
   "label": "₹ 100 crore - ₹ 500 crore: Trade dues and other current liabilities",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    18.2,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__gross_physical_assets": {
   "label": "₹ 100 crore - ₹ 500 crore: Gross physical assets",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    8.6,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_100_crore_rs_500_crore__net_physical_assets": {
   "label": "₹ 100 crore - ₹ 500 crore: Net physical assets",
   "unit": "pct",
   "group": "₹ 100 crore - ₹ 500 crore",
   "data": [
    8.2,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_500_crore_rs_1000_crore__interest": {
   "label": "₹ 500 crore - ₹ 1000 crore: Interest",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    20.5,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_500_crore_rs_1000_crore__tax_provision": {
   "label": "₹ 500 crore - ₹ 1000 crore: Tax provision",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    2.8,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_500_crore_rs_1000_crore__of_which_from_banks": {
   "label": "₹ 500 crore - ₹ 1000 crore: of which, from banks",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    10.1,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_500_crore_rs_1000_crore__trade_dues_and_other_current_liabilities": {
   "label": "₹ 500 crore - ₹ 1000 crore: Trade dues and other current liabilities",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    22.2,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_500_crore_rs_1000_crore__gross_physical_assets": {
   "label": "₹ 500 crore - ₹ 1000 crore: Gross physical assets",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    12.6,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_500_crore_rs_1000_crore__net_physical_assets": {
   "label": "₹ 500 crore - ₹ 1000 crore: Net physical assets",
   "unit": "pct",
   "group": "₹ 500 crore - ₹ 1000 crore",
   "data": [
    11.6,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_1000_crore_and_above__interest": {
   "label": "₹ 1000 crore & above: Interest",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    31,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_1000_crore_and_above__tax_provision": {
   "label": "₹ 1000 crore & above: Tax provision",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    7.5,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_1000_crore_and_above__of_which_from_banks": {
   "label": "₹ 1000 crore & above: of which, from banks",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    13.6,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_1000_crore_and_above__trade_dues_and_other_current_liabilities": {
   "label": "₹ 1000 crore & above: Trade dues and other current liabilities",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    21.8,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_1000_crore_and_above__gross_physical_assets": {
   "label": "₹ 1000 crore & above: Gross physical assets",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    11.8,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "rs_1000_crore_and_above__net_physical_assets": {
   "label": "₹ 1000 crore & above: Net physical assets",
   "unit": "pct",
   "group": "₹ 1000 crore & above",
   "data": [
    10.7,
    null,
    null,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "companies": {
   "label": "Number of companies in the study",
   "unit": "count",
   "data": [
    3041,
    3014,
    4388,
    16923,
    19602,
    24612,
    16130,
    16045
   ]
  }
 }
}