ExlService Holdings (EXLS) Other Operating Expenses (2010 - 2026)
ExlService Holdings (EXLS) posted Other Operating Expenses of $64.23 million for Q2 2026, up 50.3% from $42.72 million a year earlier and up 27.4% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at ExlService Holdings was $212.84 million, up 24.9% year-over-year; for FY2025, it came in at $186.07 million, up 16.2% from FY2024.
- Annual Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In prior years, ExlService Holdings' Other Operating Expenses was $160.13 million in FY2024 (+18.7%), $134.91 million in FY2023 (+17.2%), $115.1 million in FY2022 (+18.6%) and $97.08 million in FY2021 (+30.3%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 22 quarters, with growth averaging 20.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 9.1% in Q4 2022 to 50.3% in Q2 2026.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $50.43 million (Q1 2026), $48.49 million (Q4 2025) and $49.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | ExlService Holdings | 5.22 Bn | 3.96 Bn | 225.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.23 Mn |
| Mar 31, 2026 | 50.43 Mn |
| Dec 31, 2025 | 48.49 Mn |
| Sep 30, 2025 | 49.69 Mn |
| Jun 30, 2025 | 42.72 Mn |
| Mar 31, 2025 | 45.17 Mn |
| Dec 31, 2024 | 41.54 Mn |
| Sep 30, 2024 | 41.02 Mn |
| Jun 30, 2024 | 38.52 Mn |
| Mar 31, 2024 | 39.05 Mn |
| Dec 31, 2023 | 34.72 Mn |
| Sep 30, 2023 | 34.10 Mn |
| Jun 30, 2023 | 32.44 Mn |
| Mar 31, 2023 | 33.64 Mn |
| Dec 31, 2022 | 30.19 Mn |
| Sep 30, 2022 | 28.12 Mn |
| Jun 30, 2022 | 28.13 Mn |
| Mar 31, 2022 | 28.66 Mn |
| Dec 31, 2021 | 27.67 Mn |
| Sep 30, 2021 | 24.69 Mn |
API Access
ExlService Holdings Other Operating Expenses 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=other-operating-expenses&ticker=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();