Dr Reddys Laboratories (RDY) Total Debt (2009 - 2026)
Dr Reddys Laboratories (RDY) recorded Total Debt of $752.59 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 14.0% from $659.93 million a year earlier but down 4.0% from the prior quarter.
Dr Reddys Laboratories (RDY) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dr Reddys Laboratories reported Total Debt of $819.67 million, up 49.8% from FY2025.
- Annual Total Debt has increased for three straight fiscal years, with a five-year compound annual growth rate of 14.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Debt came in at $547 million in FY2025 (+127.0%), $241 million in FY2024 (+47.0%), $164 million in FY2023 (-63.2%) and $446 million in FY2022 (+7.7%).
- Quarterly Total Debt has ranged from $164.09 million in fiscal Q4 2023 to $819.67 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Total Debt has increased for 11 consecutive quarters, with growth averaging 58.2% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 230.9% in fiscal Q2 2025, against a decline of 63.2% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $784.17 million (Q1 2027), $819.67 million (Q4 2026) and $819.54 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | -11.96 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn | 752.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 752.59 Mn |
| Jun 30, 2026 | 784.17 Mn |
| Mar 31, 2026 | 819.67 Mn |
| Dec 31, 2025 | 819.54 Mn |
| Sep 30, 2025 | 659.93 Mn |
| Jun 30, 2025 | 629.70 Mn |
| Mar 31, 2025 | 546.72 Mn |
| Dec 31, 2024 | 608.38 Mn |
| Sep 30, 2024 | 579.28 Mn |
| Jun 30, 2024 | 382.93 Mn |
| Mar 31, 2024 | 240.07 Mn |
| Dec 31, 2023 | 257.67 Mn |
| Sep 30, 2023 | 175.04 Mn |
| Jun 30, 2023 | 166.21 Mn |
| Mar 31, 2023 | 164.09 Mn |
| Dec 31, 2022 | 270.43 Mn |
| Sep 30, 2022 | 270.09 Mn |
| Jun 30, 2022 | 374.25 Mn |
| Mar 31, 2022 | 446.34 Mn |
| Dec 31, 2021 | 389.14 Mn |
Dr Reddys Laboratories Total Debt 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=total-debt&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();