Dr Reddys Laboratories (RDY) Prepaid Assets (2009 - 2026)
Dr Reddys Laboratories' Prepaid Assets was $400.47 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 1.4% from $406.2 million a year earlier but up 4.4% from the prior quarter.
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Analysis
Dr Reddys Laboratories (RDY) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Prepaid Assets at Dr Reddys Laboratories came in at $386 million, up 9.3% from FY2025.
- Prepaid Assets has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 14.3% (FY2021 to FY2026).
- In earlier fiscal years, Prepaid Assets was $353 million in FY2025 (+30.3%), $271 million in FY2024 (+11.1%), $244 million in FY2023 (+33.3%) and $183 million in FY2022 (-7.6%).
- Quarterly Prepaid Assets has moved between $183.34 million (fiscal Q4 2022) and $406.2 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Prepaid Assets was higher in seven of the last eight quarters, with growth averaging 14.2%.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q4 2023 (growth of 33.3%); the worst was fiscal Q3 2022 (a decline of 14.4%).
- Per Business Quant data, RDY's Prepaid Assets in the three fiscal quarters before Q2 2027 was $383.62 million (Q1 2027), $384.25 million (Q4 2026) and $361.88 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 400.47 Mn |
| Jun 30, 2026 | 383.62 Mn |
| Mar 31, 2026 | 384.25 Mn |
| Dec 31, 2025 | 361.88 Mn |
| Sep 30, 2025 | 406.20 Mn |
| Jun 30, 2025 | 371.75 Mn |
| Mar 31, 2025 | 352.38 Mn |
| Dec 31, 2024 | 335.13 Mn |
| Sep 30, 2024 | 337.05 Mn |
| Jun 30, 2024 | 293.38 Mn |
| Mar 31, 2024 | 270.53 Mn |
| Dec 31, 2023 | 285.68 Mn |
| Sep 30, 2023 | 269.53 Mn |
| Jun 30, 2023 | 225.55 Mn |
| Mar 31, 2023 | 244.44 Mn |
| Dec 31, 2022 | 231.09 Mn |
| Sep 30, 2022 | 224.95 Mn |
| Jun 30, 2022 | 205.40 Mn |
| Mar 31, 2022 | 183.34 Mn |
| Dec 31, 2021 | 188.03 Mn |
API Access
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_KEYimport 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();