ExlService Holdings (EXLS) Shares Outstanding (Entity) (2010 - 2026)
ExlService Holdings (EXLS) posted Shares Outstanding (Entity) of 151.03 million for Q3 2026, down 4.9% from 158.88 million a year earlier and down 0.5% from the prior quarter.
ExlService Holdings (EXLS) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, ExlService Holdings' Shares Outstanding (Entity) came in at 156.43 million, down 3.3% from FY2024.
- Annual Shares Outstanding (Entity) has declined for seven consecutive years, with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, ExlService Holdings' Shares Outstanding (Entity) was 161.8 million in FY2024 (-2.1%), 165.28 million in FY2023 (-0.5%), 166.17 million in FY2022 (-0.2%) and 166.46 million in FY2021 (-0.8%).
- The Q3 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) since Q2 2011.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last six quarters, with an average decline of 3.0% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q1 2025, with growth of 0.2%; the weakest was Q2 2026, with a decline of 6.2%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 151.75 million (Q2 2026), 153 million (Q1 2026) and 156.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.94 Bn | -78.32 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.76 Bn | 23.73 Bn | 1.91 Bn | - |
| 3 | Wipro | 22.37 Bn | 17.51 Bn | 745.00 Mn | - |
| 4 | Cdw | 20.43 Bn | 17.33 Bn | 1.39 Bn | 125.00 Mn |
| 5 | Cgi | 18.44 Bn | 16.24 Bn | - | - |
| 6 | Td Synnex | 18.14 Bn | 12.29 Bn | 1.43 Bn | 79.78 Mn |
| 7 | Arrow Electronics | 9.79 Bn | 8.74 Bn | 1.13 Bn | 50.91 Mn |
| 8 | EPAM Systems | 8.12 Bn | 4.04 Bn | 445.94 Mn | 50.88 Mn |
| 9 | Avnet | 6.94 Bn | 6.12 Bn | 865.03 Mn | 82.07 Mn |
| 10 | ExlService Holdings | 6.56 Bn | 5.36 Bn | 241.14 Mn | 151.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 151.03 Mn |
| Jun 30, 2026 | 151.75 Mn |
| Mar 31, 2026 | 153.00 Mn |
| Dec 31, 2025 | 156.43 Mn |
| Sep 30, 2025 | 158.88 Mn |
| Jun 30, 2025 | 161.83 Mn |
| Mar 31, 2025 | 162.68 Mn |
| Dec 31, 2024 | 161.80 Mn |
| Sep 30, 2024 | 160.88 Mn |
| Jun 30, 2024 | 162.18 Mn |
| Mar 31, 2024 | 162.43 Mn |
| Dec 31, 2023 | 165.28 Mn |
| Sep 30, 2023 | 165.12 Mn |
| Jun 30, 2023 | 165.76 Mn |
| Mar 31, 2023 | 166.61 Mn |
| Dec 31, 2022 | 166.17 Mn |
| Sep 30, 2022 | 165.26 Mn |
| Jun 30, 2022 | 165.62 Mn |
| Mar 31, 2022 | 166.64 Mn |
| Dec 31, 2021 | 166.46 Mn |
ExlService Holdings Shares Outstanding (Entity) 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-entity&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "EXLS", "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-entity&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();