Dr Reddys Laboratories (RDY) Shares Outstanding (2009 - 2026)
Dr Reddys Laboratories (RDY) posted Weighted Average Shares Outstanding of 832.44 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 0.1% from 832.95 million a year earlier and unchanged from the prior quarter.
Dr Reddys Laboratories (RDY) Shares Outstanding (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Dr Reddys Laboratories has reported Weighted Average Shares Outstanding for 69 quarters.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of 0.1% (FY2021 to FY2026).
- In prior fiscal years, Dr Reddys Laboratories' Weighted Average Shares Outstanding was 832.95 million in FY2025 (+0.1%), 831.97 million in FY2024 (+0.2%), 830.17 million in FY2023 (+0.1%) and 829.41 million in FY2022 (unchanged).
- Quarterly Weighted Average Shares Outstanding has run from a low of 829.22 million in fiscal Q3 2022 to a high of 832.95 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined in each of the last three quarters, with growth averaging 0.1% over the last eight quarters.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior fiscal quarters was 832.44 million (Q1 2027), 832.44 million (Q4 2026) and 832.95 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn | 832.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 832.44 Mn |
| Jun 30, 2026 | 832.44 Mn |
| Mar 31, 2026 | 832.44 Mn |
| Dec 31, 2025 | 832.95 Mn |
| Sep 30, 2025 | 832.95 Mn |
| Jun 30, 2025 | 832.95 Mn |
| Mar 31, 2025 | 832.95 Mn |
| Dec 31, 2024 | 831.97 Mn |
| Sep 30, 2024 | 831.97 Mn |
| Jun 30, 2024 | 831.97 Mn |
| Mar 31, 2024 | 831.97 Mn |
| Dec 31, 2023 | 830.17 Mn |
| Sep 30, 2023 | 830.17 Mn |
| Jun 30, 2023 | 830.17 Mn |
| Mar 31, 2023 | 830.17 Mn |
| Dec 31, 2022 | 829.41 Mn |
| Sep 30, 2022 | 829.41 Mn |
| Jun 30, 2022 | 829.41 Mn |
| Mar 31, 2022 | 829.41 Mn |
| Dec 31, 2021 | 829.22 Mn |
Dr Reddys Laboratories Shares Outstanding 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=shares-outstanding&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();