Dr Reddys Laboratories (RDY) Receivables (2009 - 2026)
Dr Reddys Laboratories (RDY) posted Receivables of $1.06 billion for the quarter ended Jun 30, 2026, down 4.5% from $1.11 billion a year earlier and down 4.1% from the prior quarter.
Dr Reddys Laboratories (RDY) Receivables (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Dr Reddys Laboratories' Receivables came in at $1.08 billion, up 2.0% from the prior year.
- Annual Receivables shows a five-year compound annual growth rate of -4.3% (years ended Mar 2021 to Mar 2026).
- In prior years, Dr Reddys Laboratories' Receivables was $1.06 billion in the year ended Mar 31, 2025 (+9.9%), $963 million in the year ended Mar 31, 2024 (-32.1%), $1.42 billion in the year ended Mar 31, 2023 (-8.2%) and $1.54 billion in the year ended Mar 31, 2022 (+14.6%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Receivables since the quarter ended Mar 31, 2025.
- On a year-over-year basis, Receivables increased in seven of the last eight quarters, with growth averaging 9.6%.
- The strongest year-over-year quarter for Receivables in the past five years was the quarter ended Sep 30, 2021, with growth of 36.1%; the weakest was the quarter ended Sep 30, 2023, with a decline of 51.1%.
- According to Business Quant data, Receivables for the three prior quarters was $1.11 billion (quarter ended Mar 31, 2026), $1.16 billion (quarter ended Dec 31, 2025) and $1.12 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,160.09 Bn | 1,128.68 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 624.76 Bn | 543.28 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 511.79 Bn | 484.90 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 366.25 Bn | 320.63 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 297.28 Bn | 261.27 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.26 Bn | 234.95 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 234.84 Bn | 190.23 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 193.93 Bn | 168.13 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 171.68 Bn | 118.33 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Dr Reddys Laboratories | 11.07 Bn | 10.44 Bn | 396.53 Mn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 1.07 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 1.10 Bn |
| Jun 30, 2025 | 1.11 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.01 Bn |
| Jun 30, 2024 | 971.69 Mn |
| Mar 31, 2024 | 962.89 Mn |
| Dec 31, 2023 | 952.80 Mn |
| Sep 30, 2023 | 838.08 Mn |
| Jun 30, 2023 | 939.32 Mn |
| Mar 31, 2023 | 882.88 Mn |
| Dec 31, 2022 | 905.97 Mn |
| Sep 30, 2022 | 944.85 Mn |
| Jun 30, 2022 | 928.71 Mn |
| Mar 31, 2022 | 880.47 Mn |
| Dec 31, 2021 | 839.80 Mn |
| Sep 30, 2021 | 923.90 Mn |
Dr Reddys Laboratories Receivables 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=receivables&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();