Dr Reddys Laboratories (RDY) Prepaid Assets (2009 - 2026)
Dr Reddys Laboratories' Prepaid Assets was $384.1 million in the quarter ended Jun 30, 2026, up 3.5% from $371.2 million a year earlier but down 3.2% from the prior quarter.
Dr Reddys Laboratories (RDY) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Prepaid Assets at Dr Reddys Laboratories came in at $386 million, up 9.3% from the prior year.
- Prepaid Assets has now increased for four consecutive years, with a five-year compound annual growth rate of 14.3% (years ended Mar 2021 to Mar 2026).
- In earlier years, Prepaid Assets was $353 million in the year ended Mar 31, 2025 (+30.3%), $271 million in the year ended Mar 31, 2024 (+11.1%), $244 million in the year ended Mar 31, 2023 (+33.3%) and $183 million in the year ended Mar 31, 2022 (-7.6%).
- Quarterly Prepaid Assets has moved between $184.88 million (the quarter ended Mar 31, 2022) and $413.1 million (the quarter ended Sep 30, 2025) over five years.
- Compared with a year earlier, Prepaid Assets has increased for 17 straight quarters, with growth averaging 18.3% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Mar 31, 2023 (growth of 32.0%); the worst was the quarter ended Dec 31, 2021 (a decline of 14.1%).
- Per Business Quant data, RDY's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $396.61 million (quarter ended Mar 31, 2026), $364.8 million (quarter ended Dec 31, 2025) and $413.1 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Dr Reddys Laboratories | 10.53 Bn | 9.72 Bn | 396.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 384.10 Mn |
| Mar 31, 2026 | 396.61 Mn |
| Dec 31, 2025 | 364.80 Mn |
| Sep 30, 2025 | 413.10 Mn |
| Jun 30, 2025 | 371.20 Mn |
| Mar 31, 2025 | 348.08 Mn |
| Dec 31, 2024 | 340.51 Mn |
| Sep 30, 2024 | 336.89 Mn |
| Jun 30, 2024 | 293.50 Mn |
| Mar 31, 2024 | 271.66 Mn |
| Dec 31, 2023 | 282.38 Mn |
| Sep 30, 2023 | 271.25 Mn |
| Jun 30, 2023 | 225.32 Mn |
| Mar 31, 2023 | 244.14 Mn |
| Dec 31, 2022 | 233.15 Mn |
| Sep 30, 2022 | 229.90 Mn |
| Jun 30, 2022 | 210.17 Mn |
| Mar 31, 2022 | 184.88 Mn |
| Dec 31, 2021 | 186.79 Mn |
| Sep 30, 2021 | 214.56 Mn |
Dr Reddys Laboratories Prepaid Assets 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=prepaid-assets&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();