ExlService Holdings (EXLS) Shares Outstanding (2010 - 2026)
ExlService Holdings' Shares Outstanding was 152.55 million in Q2 2026, down 6.4% from 162.93 million a year earlier and down 2.2% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at ExlService Holdings came in at 161.03 million, down 1.0% from FY2024.
- Shares Outstanding has now declined for seven consecutive years, with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 162.72 million in FY2024 (-2.2%), 166.34 million in FY2023 (-0.2%), 166.65 million in FY2022 (-0.7%) and 167.75 million in FY2021 (-2.1%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding since Q4 2011.
- Compared with a year earlier, Shares Outstanding has declined for four straight quarters, with an average decline of 2.3% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was Q2 2025 (growth of 0.1%); the worst was Q2 2026 (a decline of 6.4%).
- Per Business Quant data, EXLS's Shares Outstanding in the three quarters before Q2 2026 was 156.05 million (Q1 2026), 161.03 million (Q4 2025) and 160.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.42 Bn | 37.92 Bn | 1.60 Bn | 4.11 Bn |
| 2 | Cognizant Technology Solutions | 31.62 Bn | 24.79 Bn | 1.83 Bn | 466.00 Mn |
| 3 | Wipro | 20.69 Bn | 15.39 Bn | 738.00 Mn | 10.48 Bn |
| 4 | Td Synnex | 19.76 Bn | 13.92 Bn | 1.43 Bn | 79.21 Mn |
| 5 | Cdw | 19.55 Bn | 17.54 Bn | 1.32 Bn | 127.00 Mn |
| 6 | Cgi | 17.33 Bn | 15.12 Bn | - | 222.69 Mn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 51.31 Mn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 82.16 Mn |
| 9 | EPAM Systems | 6.74 Bn | 2.38 Bn | 429.57 Mn | 52.20 Mn |
| 10 | ExlService Holdings | 6.20 Bn | 4.94 Bn | 225.96 Mn | 152.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.55 Mn |
| Mar 31, 2026 | 156.05 Mn |
| Dec 31, 2025 | 161.03 Mn |
| Sep 30, 2025 | 160.50 Mn |
| Jun 30, 2025 | 162.93 Mn |
| Mar 31, 2025 | 162.49 Mn |
| Dec 31, 2024 | 162.72 Mn |
| Sep 30, 2024 | 161.73 Mn |
| Jun 30, 2024 | 162.79 Mn |
| Mar 31, 2024 | 165.08 Mn |
| Dec 31, 2023 | 166.34 Mn |
| Sep 30, 2023 | 166.16 Mn |
| Jun 30, 2023 | 166.78 Mn |
| Mar 31, 2023 | 167.20 Mn |
| Dec 31, 2022 | 166.65 Mn |
| Sep 30, 2022 | 166.19 Mn |
| Jun 30, 2022 | 167.02 Mn |
| Mar 31, 2022 | 167.21 Mn |
| Dec 31, 2021 | 167.75 Mn |
| Sep 30, 2021 | 167.25 Mn |
API Access
ExlService Holdings 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=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();