Dr Reddys Laboratories (RDY) Long-Term Investments (2009 - 2026)
Dr Reddys Laboratories (RDY) posted Long-Term Investments of $655.36 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 3.0% from $675.34 million a year earlier and down 22.6% from the prior quarter.
Dr Reddys Laboratories (RDY) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dr Reddys Laboratories' Long-Term Investments came in at $60 million, up 7.1% from FY2025.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- In prior fiscal years, Dr Reddys Laboratories' Long-Term Investments was $56 million in FY2025 (+12.0%), $50 million in FY2024 (-12.3%), $57 million in FY2023 (unchanged) and $57 million in FY2022 (+23.9%).
- Quarterly Long-Term Investments has run from a low of $50.32 million in fiscal Q4 2024 to a high of $1.09 billion in fiscal Q1 2025 over five years.
- On a year-over-year basis, Long-Term Investments increased in five of the last eight quarters, with growth averaging 0.7%.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was fiscal Q2 2024, with growth of 172.6%; the weakest was fiscal Q1 2026, with a decline of 30.9%.
- According to Business Quant data, Long-Term Investments for the three prior fiscal quarters was $847.17 million (Q1 2027), $60.12 million (Q4 2026) and $763.45 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 4.01 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | - |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 387.00 Mn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 1.60 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | 63.00 Mn |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 268.00 Mn |
| 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 | 1.45 Bn |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn | 655.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 655.36 Mn |
| Jun 30, 2026 | 847.17 Mn |
| Mar 31, 2026 | 60.12 Mn |
| Dec 31, 2025 | 763.45 Mn |
| Sep 30, 2025 | 675.34 Mn |
| Jun 30, 2025 | 750.86 Mn |
| Mar 31, 2025 | 56.24 Mn |
| Dec 31, 2024 | 596.43 Mn |
| Sep 30, 2024 | 618.09 Mn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 50.32 Mn |
| Dec 31, 2023 | 839.96 Mn |
| Sep 30, 2023 | 676.08 Mn |
| Jun 30, 2023 | 657.13 Mn |
| Mar 31, 2023 | 57.27 Mn |
| Dec 31, 2022 | 530.03 Mn |
| Sep 30, 2022 | 248.03 Mn |
| Jun 30, 2022 | 369.73 Mn |
| Mar 31, 2022 | 56.94 Mn |
| Dec 31, 2021 | 209.32 Mn |
Dr Reddys Laboratories Long-Term Investments 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-investments&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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-investments&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();