Dr Reddys Laboratories (RDY) Non-Current Debt (2009 - 2026)
Dr Reddys Laboratories (RDY) reported Non-Current Debt of $150.67 million for the quarter ended Jun 30, 2026, down 24.3% from the prior quarter.
Dr Reddys Laboratories (RDY) Non-Current Debt (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Dr Reddys Laboratories posted Non-Current Debt of $130 million, up 41.3% from the prior year.
- Non-Current Debt has a five-year compound annual growth rate of 8.6% (years ended Mar 2021 to Mar 2026).
- By year, Non-Current Debt came in at $92 million in the year ended Mar 31, 2025 (+27.8%), $72 million in the year ended Mar 31, 2024 (-56.1%), $164 million in the year ended Mar 31, 2023 (+115.8%) and $76 million in the year ended Mar 31, 2022 (-11.6%).
- Five-year quarterly Non-Current Debt spans a low of $15.55 million in the quarter ended Mar 31, 2023 and a high of $301 million in the quarter ended Jun 30, 2022.
- Year over year, Non-Current Debt gained in five of the last six quarters, with growth averaging 55.9%.
- The high point for year-over-year Non-Current Debt in five years was the quarter ended Mar 31, 2024 (growth of 364.0%); the low point was the quarter ended Mar 31, 2023 (a decline of 79.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $199.16 million (quarter ended Mar 31, 2026), $195.91 million (quarter ended Dec 31, 2025) and $133.42 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Dr Reddys Laboratories | 10.44 Bn | 9.62 Bn | 396.53 Mn | 150.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.67 Mn |
| Mar 31, 2026 | 199.16 Mn |
| Dec 31, 2025 | 195.91 Mn |
| Sep 30, 2025 | 133.42 Mn |
| Mar 31, 2025 | 90.81 Mn |
| Dec 31, 2024 | 89.76 Mn |
| Sep 30, 2024 | 87.89 Mn |
| Jun 30, 2024 | 74.67 Mn |
| Mar 31, 2024 | 72.13 Mn |
| Dec 31, 2023 | 73.88 Mn |
| Sep 30, 2023 | 89.26 Mn |
| Jun 30, 2023 | 153.00 Mn |
| Mar 31, 2023 | 15.55 Mn |
| Dec 31, 2022 | 75.45 Mn |
| Sep 30, 2022 | 81.73 Mn |
| Jun 30, 2022 | 301.00 Mn |
| Mar 31, 2022 | 76.42 Mn |
| Dec 31, 2021 | 91.20 Mn |
| Sep 30, 2021 | 93.03 Mn |
| Jun 30, 2021 | 95.94 Mn |
Dr Reddys Laboratories Non-Current 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=non-current-debt&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();