ExlService Holdings (EXLS) Operating Income (2010 - 2026)
ExlService Holdings (EXLS) reported Operating Income of $87.3 million for Q2 2026, up 7.6% from $81.14 million a year earlier but down 4.9% from the prior quarter.
ExlService Holdings (EXLS) Operating Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ExlService Holdings' Operating Income came in at $333.32 million, up 11.0% year-over-year; for FY2025, it was $313.75 million, up 19.0% from FY2024.
- Operating Income has increased for seven consecutive years, with a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- By year, Operating Income came in at $263.62 million in FY2024 (+10.4%), $238.76 million in FY2023 (+24.2%), $192.16 million in FY2022 (+23.3%) and $155.88 million in FY2021 (+41.7%).
- Five-year quarterly Operating Income spans a low of $36.06 million in Q4 2021 and a high of $91.83 million in Q1 2026.
- Year over year, Operating Income has now increased in each of the last eight quarters, with growth averaging 18.7% over the last eight quarters.
- The high point for year-over-year Operating Income in five years was Q4 2022 (growth of 41.4%); the low point was Q4 2021 (a decline of 5.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $91.83 million (Q1 2026), $78.02 million (Q4 2025) and $76.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 1.07 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 874.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 519.36 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 428.60 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 377.33 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 231.04 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 235.97 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 152.22 Mn |
| 10 | ExlService Holdings | 5.22 Bn | 3.96 Bn | 225.96 Mn | 87.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.30 Mn |
| Mar 31, 2026 | 91.83 Mn |
| Dec 31, 2025 | 78.02 Mn |
| Sep 30, 2025 | 76.17 Mn |
| Jun 30, 2025 | 81.14 Mn |
| Mar 31, 2025 | 78.42 Mn |
| Dec 31, 2024 | 71.24 Mn |
| Sep 30, 2024 | 69.41 Mn |
| Jun 30, 2024 | 61.45 Mn |
| Mar 31, 2024 | 61.52 Mn |
| Dec 31, 2023 | 54.27 Mn |
| Sep 30, 2023 | 60.23 Mn |
| Jun 30, 2023 | 64.81 Mn |
| Mar 31, 2023 | 59.45 Mn |
| Dec 31, 2022 | 51.00 Mn |
| Sep 30, 2022 | 50.11 Mn |
| Jun 30, 2022 | 47.08 Mn |
| Mar 31, 2022 | 43.98 Mn |
| Dec 31, 2021 | 36.06 Mn |
| Sep 30, 2021 | 42.44 Mn |
ExlService Holdings Operating Income 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=operating-income&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();