Dr Reddys Laboratories (RDY) Inventory (2009 - 2026)
Dr Reddys Laboratories (RDY) posted Inventory of $850.02 million for the quarter ended Jun 30, 2026, down 3.8% from $883.36 million a year earlier but up 1.5% from the prior quarter.
Dr Reddys Laboratories (RDY) Inventory (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Dr Reddys Laboratories' Inventory came in at $816 million, down 1.9% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of 5.6% (years ended Mar 2021 to Mar 2026).
- In prior years, Dr Reddys Laboratories' Inventory was $832 million in the year ended Mar 31, 2025 (+9.0%), $763 million in the year ended Mar 31, 2024 (+28.7%), $593 million in the year ended Mar 31, 2023 (-11.6%) and $671 million in the year ended Mar 31, 2022 (+8.1%).
- Quarterly Inventory has run from a low of $592.06 million in the quarter ended Mar 31, 2023 to a high of $887.23 million in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Inventory increased in seven of the last eight quarters, with growth averaging 7.6%.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Mar 31, 2024, with growth of 29.3%; the weakest was the quarter ended Mar 31, 2023, with a decline of 12.5%.
- According to Business Quant data, Inventory for the three prior quarters was $837.18 million (quarter ended Mar 31, 2026), $887.23 million (quarter ended Dec 31, 2025) and $869.27 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.77 Bn |
| 10 | Dr Reddys Laboratories | 10.44 Bn | 9.62 Bn | 396.53 Mn | 850.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 850.02 Mn |
| Mar 31, 2026 | 837.18 Mn |
| Dec 31, 2025 | 887.23 Mn |
| Sep 30, 2025 | 869.27 Mn |
| Jun 30, 2025 | 883.36 Mn |
| Mar 31, 2025 | 820.89 Mn |
| Dec 31, 2024 | 848.36 Mn |
| Sep 30, 2024 | 860.10 Mn |
| Jun 30, 2024 | 821.97 Mn |
| Mar 31, 2024 | 765.26 Mn |
| Dec 31, 2023 | 730.15 Mn |
| Sep 30, 2023 | 684.59 Mn |
| Jun 30, 2023 | 639.00 Mn |
| Mar 31, 2023 | 592.06 Mn |
| Dec 31, 2022 | 600.79 Mn |
| Sep 30, 2022 | 615.12 Mn |
| Jun 30, 2022 | 631.00 Mn |
| Mar 31, 2022 | 676.71 Mn |
| Dec 31, 2021 | 662.99 Mn |
| Sep 30, 2021 | 670.76 Mn |
Dr Reddys Laboratories Inventory 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=inventory&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();