Dr Reddys Laboratories (RDY) Goodwill (2009 - 2026)
Dr Reddys Laboratories' Goodwill came in at $135.84 million for the quarter ended Jun 30, 2026, down 2.9% from $139.92 million a year earlier and down 3.7% from the prior quarter.
Dr Reddys Laboratories (RDY) Goodwill (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Dr Reddys Laboratories' Goodwill was $137 million, down 0.7% from the prior year.
- Goodwill carries a five-year compound annual growth rate of 17.2% (years ended Mar 2021 to Mar 2026).
- Going back by year, Goodwill was $138 million in the year ended Mar 31, 2025 (+170.6%), $51 million in the year ended Mar 31, 2024 (-1.9%), $52 million in the year ended Mar 31, 2023 (-10.3%) and $58 million in the year ended Mar 31, 2022 (-6.5%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Goodwill since the quarter ended Jun 30, 2024.
- Year-over-year, Goodwill increased in six of the last eight quarters, with growth averaging 86.2%.
- The fastest year-over-year change in Goodwill over five years came in the quarter ended Sep 30, 2024 (growth of 175.2%), and the weakest in the quarter ended Mar 31, 2023 (a decline of 12.1%).
- Business Quant data shows RDY's Goodwill at $141.04 million (quarter ended Mar 31, 2026), $139.36 million (quarter ended Dec 31, 2025) and $140.99 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Dr Reddys Laboratories | 10.44 Bn | 9.62 Bn | 396.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.84 Mn |
| Mar 31, 2026 | 141.04 Mn |
| Dec 31, 2025 | 139.36 Mn |
| Sep 30, 2025 | 140.99 Mn |
| Jun 30, 2025 | 139.92 Mn |
| Mar 31, 2025 | 136.38 Mn |
| Dec 31, 2024 | 140.41 Mn |
| Sep 30, 2024 | 140.56 Mn |
| Jun 30, 2024 | 50.86 Mn |
| Mar 31, 2024 | 51.21 Mn |
| Dec 31, 2023 | 51.49 Mn |
| Sep 30, 2023 | 51.09 Mn |
| Jun 30, 2023 | 51.58 Mn |
| Mar 31, 2023 | 51.64 Mn |
| Dec 31, 2022 | 54.75 Mn |
| Sep 30, 2022 | 54.29 Mn |
| Jun 30, 2022 | 56.81 Mn |
| Mar 31, 2022 | 58.76 Mn |
| Dec 31, 2021 | 60.67 Mn |
| Sep 30, 2021 | 61.76 Mn |
Dr Reddys Laboratories Goodwill 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=goodwill&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();