Dr Reddys Laboratories (RDY) Long-Term Debt Repayments (2013 - 2026)
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Analysis
Dr Reddys Laboratories (RDY) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | - |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | -4.91 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 3.05 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 19.00 Mn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | - |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -40.13 Mn |
| Mar 31, 2024 | 91.52 Mn |
| Jun 30, 2023 | -46.25 Mn |
| Mar 31, 2021 | 102.67 Mn |
| Sep 30, 2020 | -24.79 Mn |
| Jun 30, 2020 | -24.95 Mn |
| Mar 31, 2020 | 607.80 Mn |
| Dec 31, 2019 | -201.37 Mn |
| Jun 30, 2019 | -97.11 Mn |
| Dec 31, 2018 | -207,720.55 |
| Sep 30, 2018 | -256,817.16 |
| Jun 30, 2018 | -358,253.63 |
| Sep 30, 2017 | 637,904.52 |
| Jun 30, 2017 | -1.78 Mn |
| Mar 31, 2017 | 89,609.49 |
| Dec 31, 2016 | -76.75 Mn |
| Sep 30, 2016 | -403,387.83 |
| Jun 30, 2016 | -418,840.00 |
| Mar 31, 2016 | -874,636.68 |
| Dec 31, 2015 | 242,865.04 |
API Access
Dr Reddys Laboratories Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=RDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RDY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();