ExlService Holdings (EXLS) Operating Margin (2010 - 2026)
ExlService Holdings (EXLS) posted Operating Margin of 14.68% for Q2 2026, down 1.09 percentage points from 15.77% a year earlier and down 1.42 percentage points from the prior quarter.
ExlService Holdings (EXLS) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at ExlService Holdings was 14.90%, down 0.35 percentage points year-over-year; for FY2025, it came in at 15.03%, up 0.69 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of +3.55 percentage points (FY2020 to FY2025).
- In prior years, ExlService Holdings' Operating Margin was 14.34% in FY2024 (-0.30 pp), 14.64% in FY2023 (+1.03 pp), 13.61% in FY2022 (-0.28 pp) and 13.89% in FY2021 (+2.41 pp).
- Quarterly Operating Margin has run from a low of 12.20% in Q4 2021 to a high of 16.10% in Q1 2026 over five years.
- On a year-over-year basis, Operating Margin increased in five of the last eight quarters, with an average year-over-year change of +0.50 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q2 2023, with a gain of 2.43 percentage points; the weakest was Q4 2021, with a drop of 3.17 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 16.10% (Q1 2026), 14.38% (Q4 2025) and 14.38% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.78 Bn | 38.28 Bn | 1.60 Bn | 21.09% |
| 2 | Cognizant Technology Solutions | 31.66 Bn | 24.83 Bn | 1.83 Bn | 15.95% |
| 3 | Wipro | 21.27 Bn | 15.97 Bn | 738.00 Mn | 16.01% |
| 4 | Td Synnex | 19.73 Bn | 13.89 Bn | 1.43 Bn | 2.98% |
| 5 | Cdw | 19.69 Bn | 17.67 Bn | 1.32 Bn | 6.52% |
| 6 | Cgi | 17.54 Bn | 15.34 Bn | - | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 3.78% |
| 8 | Avnet | 7.50 Bn | 6.68 Bn | 865.03 Mn | 2.79% |
| 9 | EPAM Systems | 6.77 Bn | 2.41 Bn | 429.57 Mn | 10.76% |
| 10 | ExlService Holdings | 6.23 Bn | 4.97 Bn | 225.96 Mn | 14.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.68% |
| Mar 31, 2026 | 16.10% |
| Dec 31, 2025 | 14.38% |
| Sep 30, 2025 | 14.38% |
| Jun 30, 2025 | 15.77% |
| Mar 31, 2025 | 15.65% |
| Dec 31, 2024 | 14.80% |
| Sep 30, 2024 | 14.70% |
| Jun 30, 2024 | 13.71% |
| Mar 31, 2024 | 14.09% |
| Dec 31, 2023 | 13.11% |
| Sep 30, 2023 | 14.66% |
| Jun 30, 2023 | 16.00% |
| Mar 31, 2023 | 14.84% |
| Dec 31, 2022 | 13.61% |
| Sep 30, 2022 | 13.87% |
| Jun 30, 2022 | 13.58% |
| Mar 31, 2022 | 13.36% |
| Dec 31, 2021 | 12.20% |
| Sep 30, 2021 | 14.62% |
ExlService Holdings Operating Margin 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-margin&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();