Infosys (INFY) Shares Outstanding (2009 - 2026)
Infosys (INFY) reported Weighted Average Shares Outstanding of 4.11 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 0.7% from 4.14 billion a year earlier and unchanged from the prior quarter.
Infosys (INFY) Shares Outstanding (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2009, Infosys' Weighted Average Shares Outstanding record includes 68 quarters.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- By fiscal year, Weighted Average Shares Outstanding came in at 4.14 billion in FY2025 (+0.1%), 4.14 billion in FY2024 (-1.0%), 4.18 billion in FY2023 (-0.7%) and 4.21 billion in FY2022 (-0.8%).
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 4.11 billion in fiscal Q4 2026 and a high of 4.24 billion in fiscal Q3 2022.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last three quarters, with an average decline of 0.4% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was fiscal Q3 2026 (growth of 0.1%); the low point was fiscal Q4 2024 (a decline of 1.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 4.11 billion (Q1 2027), 4.11 billion (Q4 2026) and 4.14 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | 4.11 Bn |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 450.00 Mn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 125.10 Mn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 79.21 Mn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 51.31 Mn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 51.43 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 82.16 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 151.78 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 42.40 Mn |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn | 231.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.11 Bn |
| Jun 30, 2026 | 4.11 Bn |
| Mar 31, 2026 | 4.11 Bn |
| Dec 31, 2025 | 4.14 Bn |
| Sep 30, 2025 | 4.14 Bn |
| Jun 30, 2025 | 4.14 Bn |
| Mar 31, 2025 | 4.14 Bn |
| Dec 31, 2024 | 4.14 Bn |
| Sep 30, 2024 | 4.14 Bn |
| Jun 30, 2024 | 4.14 Bn |
| Mar 31, 2024 | 4.14 Bn |
| Dec 31, 2023 | 4.18 Bn |
| Sep 30, 2023 | 4.18 Bn |
| Jun 30, 2023 | 4.18 Bn |
| Mar 31, 2023 | 4.18 Bn |
| Dec 31, 2022 | 4.21 Bn |
| Sep 30, 2022 | 4.21 Bn |
| Jun 30, 2022 | 4.21 Bn |
| Mar 31, 2022 | 4.21 Bn |
| Dec 31, 2021 | 4.24 Bn |
Infosys 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=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "INFY", "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=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();