ExlService Holdings (EXLS) Cash from Operations (2010 - 2026)
ExlService Holdings' Cash from Operations came in at $87.89 million for Q2 2026, down 19.6% from $109.38 million a year earlier.
ExlService Holdings (EXLS) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ExlService Holdings reported Cash from Operations of $327.71 million, down 0.1% year-over-year; for FY2025, it came in at $350.72 million, up 30.6% from FY2024.
- Cash from Operations has increased in each of the last three years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $268.53 million in FY2024 (+27.1%), $211.2 million in FY2023 (+27.1%), $166.14 million in FY2022 (-9.9%) and $184.39 million in FY2021 (-9.2%).
- The five-year range for quarterly Cash from Operations is -$26.87 million (Q1 2022) to $120.72 million (Q3 2025).
- Year-over-year, Cash from Operations increased in five of the last seven quarters, with growth averaging 13.5%.
- The fastest year-over-year change in Cash from Operations over five years came in Q2 2022 (growth of 106.2%), and the weakest in Q1 2026 (a decline of 47.0%).
- Business Quant data shows EXLS's Cash from Operations at $1.72 million (Q1 2026), $117.38 million (Q4 2025) and $120.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | 1.26 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 558.00 Mn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | -916.72 Mn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | -55.10 Mn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | 437.03 Mn |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | 318.35 Mn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | -290.74 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | -533.22 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | -2.42 Mn |
| 10 | ExlService Holdings | 5.54 Bn | 4.28 Bn | 225.96 Mn | 87.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.89 Mn |
| Mar 31, 2026 | 1.72 Mn |
| Dec 31, 2025 | 117.38 Mn |
| Sep 30, 2025 | 120.72 Mn |
| Jun 30, 2025 | 109.38 Mn |
| Mar 31, 2025 | 3.24 Mn |
| Dec 31, 2024 | 105.35 Mn |
| Sep 30, 2024 | 110.14 Mn |
| Jun 30, 2024 | 74.91 Mn |
| Mar 31, 2024 | -21.87 Mn |
| Dec 31, 2023 | 79.04 Mn |
| Sep 30, 2023 | 68.60 Mn |
| Jun 30, 2023 | 47.53 Mn |
| Mar 31, 2023 | 16.03 Mn |
| Dec 31, 2022 | 65.05 Mn |
| Sep 30, 2022 | 48.08 Mn |
| Jun 30, 2022 | 79.88 Mn |
| Mar 31, 2022 | -26.87 Mn |
| Dec 31, 2021 | 70.63 Mn |
| Sep 30, 2021 | 59.82 Mn |
ExlService Holdings Cash from Operations 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=cash-from-operations&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();