Dr Reddys Laboratories (RDY) EBIT (2009 - 2026)
Dr Reddys Laboratories' EBIT came in at $132.69 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 33.9% from $200.78 million a year earlier but up 232.0% from the prior quarter.
Dr Reddys Laboratories (RDY) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Dr Reddys Laboratories reported EBIT of $347.04 million, down 58.2% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $572.73 million, down 32.0% from FY2025.
- EBIT carries a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- Going back by fiscal year, EBIT was $842 million in FY2025 (+3.6%), $813 million in FY2024 (+17.0%), $695 million in FY2023 (+78.7%) and $389 million in FY2022 (+17.2%).
- The five-year range for quarterly EBIT is $14.49 million (fiscal Q4 2026) to $221.71 million (fiscal Q3 2025).
- Year-over-year, EBIT has declined for six consecutive quarters, with an average decline of 28.0% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in fiscal Q4 2023 (growth of 949.4%), and the weakest in fiscal Q4 2026 (a decline of 92.9%).
- Business Quant data shows RDY's EBIT at $39.97 million (Q1 2027), $14.49 million (Q4 2026) and $159.89 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 12.79 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 6.18 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 6.27 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 5.59 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 4.39 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 3.71 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 3.46 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 5.47 Bn |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn | 132.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 132.69 Mn |
| Jun 30, 2026 | 39.97 Mn |
| Mar 31, 2026 | 14.49 Mn |
| Dec 31, 2025 | 159.89 Mn |
| Sep 30, 2025 | 200.78 Mn |
| Jun 30, 2025 | 204.19 Mn |
| Mar 31, 2025 | 203.79 Mn |
| Dec 31, 2024 | 221.71 Mn |
| Sep 30, 2024 | 209.55 Mn |
| Jun 30, 2024 | 214.88 Mn |
| Mar 31, 2024 | 180.13 Mn |
| Dec 31, 2023 | 207.37 Mn |
| Sep 30, 2023 | 216.14 Mn |
| Jun 30, 2023 | 215.00 Mn |
| Mar 31, 2023 | 212.00 Mn |
| Dec 31, 2022 | 151.00 Mn |
| Sep 30, 2022 | 200.00 Mn |
| Jun 30, 2022 | 195.00 Mn |
| Mar 31, 2022 | 20.20 Mn |
| Dec 31, 2021 | 75.00 Mn |
Dr Reddys Laboratories EBIT 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=ebit&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();