Dr Reddys Laboratories (RDY) Return on Sales [ROS] (2009 - 2026)
Dr Reddys Laboratories' Return on Sales [ROS] was 14.63% in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 5.26 percentage points from 19.89% a year earlier but up 9.94 percentage points from the prior quarter.
Dr Reddys Laboratories (RDY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dr Reddys Laboratories' Return on Sales [ROS] was 9.74% through Sep 30, 2026, down 11.12 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 16.00%, down 6.10 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +3.20 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 22.09% in FY2025 (-2.17 pp), 24.27% in FY2024 (+1.04 pp), 23.23% in FY2023 (+9.46 pp) and 13.77% in FY2022 (+0.97 pp).
- Quarterly Return on Sales [ROS] has moved between 1.76% (fiscal Q4 2026) and 26.14% (fiscal Q4 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for 11 straight quarters, with an average year-over-year change of -6.61 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2023 (a gain of 23.35 percentage points); the worst was fiscal Q4 2026 (a drop of 18.98 percentage points).
- Per Business Quant data, RDY's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was 4.69% (Q1 2027), 1.76% (Q4 2026) and 16.32% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,248.16 Bn | 1,221.78 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 670.28 Bn | 590.14 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 514.81 Bn | 482.82 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 363.68 Bn | 326.63 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 314.66 Bn | 287.90 Bn | - | - |
| 6 | Astrazeneca | 292.36 Bn | 266.25 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 248.52 Bn | 200.18 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 209.74 Bn | 184.85 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 165.67 Bn | 113.03 Bn | 12.56 Bn | 32.98% |
| 10 | Dr Reddys Laboratories | 12.34 Bn | 11.68 Bn | 472.93 Mn | 14.63% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.63% |
| Jun 30, 2026 | 4.69% |
| Mar 31, 2026 | 1.76% |
| Dec 31, 2025 | 16.32% |
| Sep 30, 2025 | 19.89% |
| Jun 30, 2025 | 20.45% |
| Mar 31, 2025 | 20.75% |
| Dec 31, 2024 | 22.40% |
| Sep 30, 2024 | 21.89% |
| Jun 30, 2024 | 23.36% |
| Mar 31, 2024 | 21.12% |
| Dec 31, 2023 | 23.93% |
| Sep 30, 2023 | 25.97% |
| Jun 30, 2023 | 25.97% |
| Mar 31, 2023 | 26.14% |
| Dec 31, 2022 | 19.69% |
| Sep 30, 2022 | 24.27% |
| Jun 30, 2022 | 25.59% |
| Mar 31, 2022 | 2.79% |
| Dec 31, 2021 | 10.46% |
Dr Reddys Laboratories Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();