Dr Reddys Laboratories (RDY) Intangibles (2009 - 2026)
Dr Reddys Laboratories (RDY) reported Intangibles of $1.09 billion for the quarter ended Jun 30, 2026, down 2.0% from $1.12 billion a year earlier and down 4.8% from the prior quarter.
Dr Reddys Laboratories (RDY) Intangibles (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Dr Reddys Laboratories posted Intangibles of $1.12 billion, down 1.2% from the prior year.
- Intangibles has a five-year compound annual growth rate of 18.1% (years ended Mar 2021 to Mar 2026).
- By year, Intangibles came in at $1.13 billion in the year ended Mar 31, 2025 (+156.0%), $443 million in the year ended Mar 31, 2024 (+18.1%), $375 million in the year ended Mar 31, 2023 (+4.5%) and $359 million in the year ended Mar 31, 2022 (-26.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Intangibles since the quarter ended Jun 30, 2024.
- Year over year, Intangibles gained in seven of the last eight quarters, with growth averaging 75.8%.
- The high point for year-over-year Intangibles in five years was the quarter ended Mar 31, 2025 (growth of 151.2%); the low point was the quarter ended Mar 31, 2022 (a decline of 25.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.15 billion (quarter ended Mar 31, 2026), $1.15 billion (quarter ended Dec 31, 2025) and $1.16 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 412.80 Mn |
| 10 | Dr Reddys Laboratories | 10.53 Bn | 9.72 Bn | 396.53 Mn | 1.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 1.16 Bn |
| Jun 30, 2025 | 1.12 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 445.12 Mn |
| Mar 31, 2024 | 444.95 Mn |
| Dec 31, 2023 | 443.23 Mn |
| Sep 30, 2023 | 448.25 Mn |
| Jun 30, 2023 | 463.35 Mn |
| Mar 31, 2023 | 375.27 Mn |
| Dec 31, 2022 | 376.43 Mn |
| Sep 30, 2022 | 398.31 Mn |
| Jun 30, 2022 | 412.81 Mn |
| Mar 31, 2022 | 362.35 Mn |
| Dec 31, 2021 | 427.56 Mn |
| Sep 30, 2021 | 440.38 Mn |
Dr Reddys Laboratories Intangibles 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=intangibles&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();