ExlService Holdings (EXLS) Accumulated Expenses (2010 - 2026)
ExlService Holdings (EXLS) posted Accumulated Expenses of $161.5 million for Q2 2026, down 6.05% on a QoQ basis from $171.9 million in Q1 2026, and up 32.89% year-over-year from $121.5 million in Q2 2025.
ExlService Holdings (EXLS) Accumulated Expenses (2010 - 2026) Analysis & Trends
ExlService Holdings has reported Accumulated Expenses for 17 years, with the latest figure at $161.5 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 32.89% year-over-year to $161.5 million in Q2 2026; TTM through Jun 2026 was $161.5 million, a 32.89% increase from a year earlier, with the FY2025 full-year figure at $146.8 million, up 12.91% from the prior year.
- Accumulated Expenses was $161.5 million for Q2 2026 at ExlService Holdings, down from $171.9 million in the prior quarter.
- The five-year high for Accumulated Expenses was $171.9 million in Q1 2026, with the low at $86.9 million in Q1 2022.
- Average Accumulated Expenses over 5 years is $119.6 million, with a median of $113.9 million recorded in 2023.
- The sharpest annual moves came in 2023 and 2024: Accumulated Expenses surged 53.49% in 2023, then declined 19.75% in 2024.
- Over 5 years, Accumulated Expenses stood at $108.1 million in 2022, then grew by 8.36% to $117.1 million in 2023, then gained by 10.98% to $130.0 million in 2024, then climbed by 12.91% to $146.8 million in 2025, then gained by 10.05% to $161.5 million in 2026.
- The last three Accumulated Expenses figures came in at $161.5 million (Q2 2026), $171.9 million (Q1 2026), and $146.8 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161.53 Mn |
| Mar 31, 2026 | 171.93 Mn |
| Dec 31, 2025 | 146.78 Mn |
| Sep 30, 2025 | 129.38 Mn |
| Jun 30, 2025 | 121.55 Mn |
| Mar 31, 2025 | 131.98 Mn |
| Dec 31, 2024 | 129.99 Mn |
| Sep 30, 2024 | 110.68 Mn |
| Jun 30, 2024 | 97.61 Mn |
| Mar 31, 2024 | 107.06 Mn |
| Dec 31, 2023 | 117.14 Mn |
| Sep 30, 2023 | 107.73 Mn |
| Jun 30, 2023 | 104.48 Mn |
| Mar 31, 2023 | 133.40 Mn |
| Dec 31, 2022 | 108.10 Mn |
| Sep 30, 2022 | 96.80 Mn |
| Jun 30, 2022 | 89.03 Mn |
| Mar 31, 2022 | 86.91 Mn |
| Dec 31, 2021 | 114.29 Mn |
| Sep 30, 2021 | 95.83 Mn |
ExlService Holdings Accumulated 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=accumulated-expenses&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();