ExlService Holdings (EXLS) EBIT (2010 - 2026)
ExlService Holdings (EXLS) recorded EBIT of $88.86 million in Q3 2026, up 16.6% from $76.17 million a year earlier and up 1.8% from the prior quarter.
ExlService Holdings (EXLS) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, ExlService Holdings' EBIT came in at $346 million as of Sep 30, 2026, up 12.7% year-over-year; for FY2025, it came in at $313.75 million, up 19.0% from FY2024.
- Annual EBIT has increased for seven straight years, with a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- Across earlier years, EBIT 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%).
- Quarterly EBIT has ranged from $36.06 million in Q4 2021 to $91.83 million in Q1 2026 over the past five years.
- On a year-over-year basis, EBIT has increased for nine consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 41.4% in Q4 2022, against a decline of 5.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $87.3 million (Q2 2026), $91.83 million (Q1 2026) and $78.02 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 872.00 Mn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 489.50 Mn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 642.88 Mn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 377.33 Mn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 175.93 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 231.04 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 88.86 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 152.00 Mn |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn | 293.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 88.86 Mn |
| 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 |
ExlService Holdings EBIT 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=ebit&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();