Dr Reddys Laboratories (RDY) Other Accumulated Expenses (2009 - 2026)
Dr Reddys Laboratories' Other Accumulated Expenses came in at $441.79 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 16.2% from $527.2 million a year earlier and down 3.8% from the prior quarter.
Dr Reddys Laboratories (RDY) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dr Reddys Laboratories' Other Accumulated Expenses was $537 million, up 0.8% from FY2025.
- Other Accumulated Expenses has increased in each of the last 11 fiscal years, with a five-year compound annual growth rate of 5.2% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $533 million in FY2025 (+3.5%), $515 million in FY2024 (+7.3%), $480 million in FY2023 (+7.1%) and $448 million in FY2022 (+7.4%).
- The fiscal Q2 2027 figure represents the lowest quarterly Other Accumulated Expenses since fiscal Q1 2025.
- Year-over-year, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q1 2026 (growth of 17.3%), and the weakest in fiscal Q2 2027 (a decline of 16.2%).
- Business Quant data shows RDY's Other Accumulated Expenses at $459.16 million (Q1 2027), $532.65 million (Q4 2026) and $512.96 million (Q3 2026) in the three fiscal quarters before Q2 2027.
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 | 441.79 Mn |
| Jun 30, 2026 | 459.16 Mn |
| Mar 31, 2026 | 532.65 Mn |
| Dec 31, 2025 | 512.96 Mn |
| Sep 30, 2025 | 527.20 Mn |
| Jun 30, 2025 | 512.28 Mn |
| Mar 31, 2025 | 531.75 Mn |
| Dec 31, 2024 | 489.87 Mn |
| Sep 30, 2024 | 499.51 Mn |
| Jun 30, 2024 | 436.87 Mn |
| Mar 31, 2024 | 514.40 Mn |
| Dec 31, 2023 | 473.49 Mn |
| Sep 30, 2023 | 441.68 Mn |
| Jun 30, 2023 | 433.64 Mn |
| Mar 31, 2023 | 480.78 Mn |
| Dec 31, 2022 | 419.30 Mn |
| Sep 30, 2022 | 408.83 Mn |
| Jun 30, 2022 | 418.20 Mn |
| Mar 31, 2022 | 448.28 Mn |
| Dec 31, 2021 | 420.62 Mn |
Dr Reddys Laboratories Other Accumulated Expenses 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-accumulated-expenses&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();