Dr Reddys Laboratories (RDY) Inventory (2009 - 2026)
Dr Reddys Laboratories (RDY) posted Inventory of $845.2 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 1.1% from $854.76 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Dr Reddys Laboratories (RDY) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dr Reddys Laboratories' Inventory came in at $816 million, down 1.9% from FY2025.
- Annual Inventory shows a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- In prior fiscal years, Dr Reddys Laboratories' Inventory was $832 million in FY2025 (+9.0%), $763 million in FY2024 (+28.9%), $592 million in FY2023 (-11.8%) and $671 million in FY2022 (+8.1%).
- Quarterly Inventory has run from a low of $592.81 million in fiscal Q4 2023 to a high of $884.67 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Inventory has declined in each of the last three quarters, with growth averaging 3.4% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q1 2025, with growth of 28.7%; the weakest was fiscal Q4 2023, with a decline of 11.7%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $848.96 million (Q1 2027), $811.09 million (Q4 2026) and $880.13 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 18.19 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 15.38 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 5.31 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 6.16 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 6.88 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 6.39 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 1.90 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 10.02 Bn |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn | 845.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 845.20 Mn |
| Jun 30, 2026 | 848.96 Mn |
| Mar 31, 2026 | 811.09 Mn |
| Dec 31, 2025 | 880.13 Mn |
| Sep 30, 2025 | 854.76 Mn |
| Jun 30, 2025 | 884.67 Mn |
| Mar 31, 2025 | 831.03 Mn |
| Dec 31, 2024 | 834.98 Mn |
| Sep 30, 2024 | 860.51 Mn |
| Jun 30, 2024 | 821.66 Mn |
| Mar 31, 2024 | 762.08 Mn |
| Dec 31, 2023 | 738.69 Mn |
| Sep 30, 2023 | 680.25 Mn |
| Jun 30, 2023 | 638.41 Mn |
| Mar 31, 2023 | 592.81 Mn |
| Dec 31, 2022 | 595.47 Mn |
| Sep 30, 2022 | 601.89 Mn |
| Jun 30, 2022 | 656.67 Mn |
| Mar 31, 2022 | 671.05 Mn |
| Dec 31, 2021 | 667.39 Mn |
API Access
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_KEYimport 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();