ExlService Holdings (EXLS) Shares Outstanding (Diluted) (2010 - 2026)
ExlService Holdings (EXLS) recorded Shares Outstanding (Diluted) of 152.83 million in Q2 2026, down 6.9% from 164.19 million a year earlier and down 2.6% from the prior quarter.
ExlService Holdings (EXLS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, ExlService Holdings reported Shares Outstanding (Diluted) of 162.48 million, down 1.1% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for eight straight years, with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 164.32 million in FY2024 (-2.3%), 168.16 million in FY2023 (-0.6%), 169.17 million in FY2022 (-1.2%) and 171.22 million in FY2021 (-0.9%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) since Q4 2010.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for four consecutive quarters, with an average decline of 2.5% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 0.1% in Q2 2025, against a decline of 6.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 156.9 million (Q1 2026), 162.48 million (Q4 2025) and 161.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 4.12 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 466.00 Mn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 10.50 Bn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 79.41 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 127.40 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 225.49 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 51.87 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 83.42 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 52.27 Mn |
| 10 | ExlService Holdings | 6.07 Bn | 4.81 Bn | 225.96 Mn | 152.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.83 Mn |
| Mar 31, 2026 | 156.90 Mn |
| Dec 31, 2025 | 162.48 Mn |
| Sep 30, 2025 | 161.71 Mn |
| Jun 30, 2025 | 164.19 Mn |
| Mar 31, 2025 | 164.56 Mn |
| Dec 31, 2024 | 164.32 Mn |
| Sep 30, 2024 | 163.19 Mn |
| Jun 30, 2024 | 163.96 Mn |
| Mar 31, 2024 | 166.73 Mn |
| Dec 31, 2023 | 168.16 Mn |
| Sep 30, 2023 | 167.69 Mn |
| Jun 30, 2023 | 168.44 Mn |
| Mar 31, 2023 | 169.66 Mn |
| Dec 31, 2022 | 169.17 Mn |
| Sep 30, 2022 | 168.89 Mn |
| Jun 30, 2022 | 169.15 Mn |
| Mar 31, 2022 | 169.47 Mn |
| Dec 31, 2021 | 171.22 Mn |
| Sep 30, 2021 | 171.53 Mn |
ExlService Holdings Shares Outstanding (Diluted) 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-diluted&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();