ExlService Holdings (EXLS) EBITDA (2010 - 2026)
ExlService Holdings (EXLS) reported EBITDA of $101.77 million for Q2 2026, up 6.8% from $95.29 million a year earlier but down 3.8% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ExlService Holdings' EBITDA came in at $393.35 million, up 9.9% year-over-year; for FY2025, it was $373 million, up 17.0% from FY2024.
- EBITDA has increased for seven consecutive years, with a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- By year, EBITDA came in at $318.84 million in FY2024 (+10.3%), $289.04 million in FY2023 (+16.4%), $248.26 million in FY2022 (+20.8%) and $205.54 million in FY2021 (+28.0%).
- Five-year quarterly EBITDA spans a low of $48.56 million in Q4 2021 and a high of $105.82 million in Q1 2026.
- Year over year, EBITDA has now increased in each of the last eight quarters, with growth averaging 17.5% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2022 (growth of 34.1%); the low point was Q4 2021 (a decline of 5.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $105.82 million (Q1 2026), $94.39 million (Q4 2025) and $91.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 13.55 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 498.97 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 749.12 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 503.70 Mn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 591.24 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 412.93 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 268.27 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 184.32 Mn |
| 10 | ExlService Holdings | 6.07 Bn | 4.81 Bn | 225.96 Mn | 101.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.77 Mn |
| Mar 31, 2026 | 105.82 Mn |
| Dec 31, 2025 | 94.39 Mn |
| Sep 30, 2025 | 91.36 Mn |
| Jun 30, 2025 | 95.29 Mn |
| Mar 31, 2025 | 91.96 Mn |
| Dec 31, 2024 | 87.40 Mn |
| Sep 30, 2024 | 83.24 Mn |
| Jun 30, 2024 | 74.34 Mn |
| Mar 31, 2024 | 73.86 Mn |
| Dec 31, 2023 | 66.54 Mn |
| Sep 30, 2023 | 71.78 Mn |
| Jun 30, 2023 | 77.87 Mn |
| Mar 31, 2023 | 72.86 Mn |
| Dec 31, 2022 | 65.10 Mn |
| Sep 30, 2022 | 64.37 Mn |
| Jun 30, 2022 | 61.15 Mn |
| Mar 31, 2022 | 57.64 Mn |
| Dec 31, 2021 | 48.56 Mn |
| Sep 30, 2021 | 55.29 Mn |
API Access
ExlService Holdings EBITDA 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=ebitda&ticker=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();