Dr Reddys Laboratories (RDY) Other Non-Current Liabilities (2009 - 2026)
Dr Reddys Laboratories (RDY) posted Other Liabilities of $27.29 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 2.6% from $26.59 million a year earlier but down 14.2% from the prior quarter.
Dr Reddys Laboratories (RDY) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dr Reddys Laboratories' Other Liabilities came in at $37 million, down 5.1% from FY2025.
- Annual Other Liabilities shows a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- In prior fiscal years, Dr Reddys Laboratories' Other Liabilities was $39 million in FY2025 (-18.8%), $48 million in FY2024 (+37.1%), $35 million in FY2023 (+9.4%) and $32 million in FY2022 (unchanged).
- Quarterly Other Liabilities has run from a low of $26.12 million in fiscal Q3 2026 to a high of $71.95 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, Other Liabilities increased in two of the last eight quarters, with an average decline of 18.3%.
- The strongest year-over-year quarter for Other Liabilities in the past five years was fiscal Q2 2025, with growth of 68.6%; the weakest was fiscal Q2 2026, with a decline of 63.0%.
- According to Business Quant data, Other Liabilities for the three prior fiscal quarters was $31.82 million (Q1 2027), $36.49 million (Q4 2026) and $26.12 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn |
| 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
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.29 Mn |
| Jun 30, 2026 | 31.82 Mn |
| Mar 31, 2026 | 36.49 Mn |
| Dec 31, 2025 | 26.12 Mn |
| Sep 30, 2025 | 26.59 Mn |
| Jun 30, 2025 | 40.69 Mn |
| Mar 31, 2025 | 38.61 Mn |
| Dec 31, 2024 | 68.96 Mn |
| Sep 30, 2024 | 71.95 Mn |
| Jun 30, 2024 | 47.00 Mn |
| Mar 31, 2024 | 47.59 Mn |
| Dec 31, 2023 | 50.91 Mn |
| Sep 30, 2023 | 42.66 Mn |
| Jun 30, 2023 | 41.21 Mn |
| Mar 31, 2023 | 34.69 Mn |
| Dec 31, 2022 | 35.85 Mn |
| Sep 30, 2022 | 34.67 Mn |
| Jun 30, 2022 | 35.26 Mn |
| Mar 31, 2022 | 31.94 Mn |
| Dec 31, 2021 | 35.33 Mn |
Dr Reddys Laboratories Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();