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 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn |
| 10 | Dr Reddys Laboratories | 11.03 Bn | 10.40 Bn | 396.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.67 Mn |
| Mar 31, 2026 | 136.64 Mn |
| Dec 31, 2025 | 138.24 Mn |
| Sep 30, 2025 | 138.64 Mn |
| Jun 30, 2025 | 140.13 Mn |
| Mar 31, 2025 | 138.07 Mn |
| Dec 31, 2024 | 138.19 Mn |
| Sep 30, 2024 | 140.63 Mn |
| Jun 30, 2024 | 50.84 Mn |
| Mar 31, 2024 | 51.00 Mn |
| Dec 31, 2023 | 52.09 Mn |
| Sep 30, 2023 | 50.76 Mn |
| Jun 30, 2023 | 51.64 Mn |
| Mar 31, 2023 | 51.70 Mn |
| Dec 31, 2022 | 54.26 Mn |
| Sep 30, 2022 | 53.12 Mn |
| Jun 30, 2022 | 55.53 Mn |
| Mar 31, 2022 | 58.26 Mn |
| Dec 31, 2021 | 61.08 Mn |
| Sep 30, 2021 | 61.57 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();