Dr Reddys Laboratories (RDY) Payables (2009 - 2026)
Dr Reddys Laboratories (RDY) reported Payables of $982.21 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 7.0% from $917.69 million a year earlier but down 2.2% from the prior quarter.
Dr Reddys Laboratories (RDY) Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dr Reddys Laboratories posted Payables of $980.82 million, up 13.8% from FY2025.
- Payables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- By fiscal year, Payables came in at $862 million in FY2025 (+64.5%), $524 million in FY2024 (+27.2%), $412 million in FY2023 (-40.6%) and $694 million in FY2022 (+8.3%).
- Five-year quarterly Payables spans a low of $411.73 million in fiscal Q2 2023 and a high of $1.01 billion in fiscal Q3 2026.
- Year over year, Payables has now increased in each of the last 13 quarters, with growth averaging 26.7% over the last eight quarters.
- The high point for year-over-year Payables in five years was fiscal Q2 2025 (growth of 107.2%); the low point was fiscal Q4 2023 (a decline of 40.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1 billion (Q1 2027), $980.82 million (Q4 2026) and $1.01 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 5.79 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 18.17 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 34.43 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 7.17 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | -25.19 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 2.95 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 934.00 Mn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 4.07 Bn |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn | 982.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 982.21 Mn |
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 980.82 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 917.69 Mn |
| Jun 30, 2025 | 887.46 Mn |
| Mar 31, 2025 | 860.05 Mn |
| Dec 31, 2024 | 914.15 Mn |
| Sep 30, 2024 | 904.86 Mn |
| Jun 30, 2024 | 686.32 Mn |
| Mar 31, 2024 | 523.33 Mn |
| Dec 31, 2023 | 528.01 Mn |
| Sep 30, 2023 | 436.72 Mn |
| Jun 30, 2023 | 416.08 Mn |
| Mar 31, 2023 | 412.10 Mn |
| Dec 31, 2022 | 452.60 Mn |
| Sep 30, 2022 | 411.73 Mn |
| Jun 30, 2022 | 544.41 Mn |
| Mar 31, 2022 | 694.39 Mn |
| Dec 31, 2021 | 615.64 Mn |
Dr Reddys Laboratories Payables 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=payables&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();