Dr Reddys Laboratories (RDY) EPS (Diluted) (2009 - 2026)
Dr Reddys Laboratories' EPS (Diluted) was $0.06 in the quarter ended Jun 30, 2026, down 71.7% from $0.20 a year earlier and down 99.9% from the prior quarter.
Dr Reddys Laboratories (RDY) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dr Reddys Laboratories' EPS (Diluted) was $204.83 through Jun 30, 2026, up 87.5% year-over-year; for the year ended Mar 31, 2026, it came in at $0.55, down 99.9% from the prior year.
- EPS (Diluted) shows a five-year compound annual growth rate of 6.8% (years ended Mar 2021 to Mar 2026).
- In earlier years, EPS (Diluted) was $404.48 in the year ended Mar 31, 2025, $0.81 in the year ended Mar 31, 2024 (+19.5%), $0.68 in the year ended Mar 31, 2023 (+41.9%) and $0.48 in the year ended Mar 31, 2022 (+21.1%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly EPS (Diluted) since the quarter ended Mar 31, 2022.
- Compared with a year earlier, EPS (Diluted) was higher in two of the last six quarters, with an average decline of 10.7%.
- The best year-over-year quarter for EPS (Diluted) over five years was the quarter ended Mar 31, 2023 (growth of 645.3%); the worst was the quarter ended Mar 31, 2022 (a decline of 74.0%).
- Per Business Quant data, RDY's EPS (Diluted) in the three quarters before the quarter ended Jun 30, 2026 was $96.26 (quarter ended Mar 31, 2026), $108.16 (quarter ended Dec 31, 2025) and $0.24 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 2.27 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 1.67 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.85 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.37 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 4.31 |
| 10 | Dr Reddys Laboratories | 10.44 Bn | 9.62 Bn | 396.53 Mn | 0.06 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.06 |
| Mar 31, 2026 | 96.26 |
| Dec 31, 2025 | 108.16 |
| Sep 30, 2025 | 0.24 |
| Jun 30, 2025 | 0.20 |
| Mar 31, 2025 | 108.50 |
| Dec 31, 2024 | 0.27 |
| Sep 30, 2024 | 0.25 |
| Jun 30, 2024 | 0.20 |
| Mar 31, 2024 | 0.22 |
| Dec 31, 2023 | 0.25 |
| Sep 30, 2023 | 0.22 |
| Jun 30, 2023 | 0.26 |
| Mar 31, 2023 | 0.18 |
| Dec 31, 2022 | 0.24 |
| Sep 30, 2022 | 0.24 |
| Jun 30, 2022 | 0.19 |
| Mar 31, 2022 | 0.02 |
| Dec 31, 2021 | 0.15 |
| Sep 30, 2021 | 0.20 |
Dr Reddys Laboratories EPS (Diluted) 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=eps-diluted&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();