ExlService Holdings (EXLS) Income Taxes Paid (2020 - 2025)
ExlService Holdings' Income Taxes Paid was $12.15 million in Q3 2025, down 56.4% from $27.91 million a year earlier and down 63.6% from the prior quarter.
ExlService Holdings (EXLS) Income Taxes Paid (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, ExlService Holdings' Income Taxes Paid was $83.46 million through Sep 30, 2025, down 21.4% year-over-year; for FY2024, it came in at $106.41 million, up 1.5% from FY2023.
- Income Taxes Paid has now increased for six consecutive years, with a five-year compound annual growth rate of 41.0% (FY2019 to FY2024).
- In earlier years, Income Taxes Paid was $104.88 million in FY2023 (+83.8%), $57.06 million in FY2022 (+14.1%), $50 million in FY2021 (+143.0%) and $20.57 million in FY2020 (+7.8%).
- Quarterly Income Taxes Paid has moved between $2.42 million (Q1 2021) and $46.77 million (Q2 2023) over five years.
- Compared with a year earlier, Income Taxes Paid has declined for three straight quarters, with growth averaging 2.2% over the last eight quarters.
- The best year-over-year quarter for Income Taxes Paid over five years was Q2 2021 (growth of 635.7%); the worst was Q3 2025 (a decline of 56.4%).
- Per Business Quant data, EXLS's Income Taxes Paid in the three quarters before Q3 2025 was $33.37 million (Q2 2025), $9.6 million (Q1 2025) and $28.35 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.02 Bn | -78.24 Bn | 1.60 Bn | -314.00 Mn |
| 2 | Cognizant Technology Solutions | 29.73 Bn | 23.69 Bn | 1.91 Bn | - |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | -34.62 Mn |
| 4 | Cdw | 20.41 Bn | 17.31 Bn | 1.39 Bn | 35.10 Mn |
| 5 | Cgi | 18.43 Bn | 16.22 Bn | - | - |
| 6 | Td Synnex | 18.27 Bn | 12.43 Bn | 1.43 Bn | - |
| 7 | Arrow Electronics | 9.86 Bn | 8.81 Bn | 1.13 Bn | - |
| 8 | EPAM Systems | 8.12 Bn | 4.03 Bn | 445.94 Mn | - |
| 9 | Avnet | 7.01 Bn | 6.19 Bn | 865.03 Mn | - |
| 10 | ExlService Holdings | 6.59 Bn | 5.40 Bn | 241.14 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 12.15 Mn |
| Jun 30, 2025 | 33.37 Mn |
| Mar 31, 2025 | 9.60 Mn |
| Dec 31, 2024 | 28.35 Mn |
| Sep 30, 2024 | 27.91 Mn |
| Jun 30, 2024 | 39.04 Mn |
| Mar 31, 2024 | 11.12 Mn |
| Dec 31, 2023 | 28.14 Mn |
| Sep 30, 2023 | 23.44 Mn |
| Jun 30, 2023 | 46.77 Mn |
| Mar 31, 2023 | 6.53 Mn |
| Dec 31, 2022 | 21.87 Mn |
| Sep 30, 2022 | 20.89 Mn |
| Jun 30, 2022 | 8.90 Mn |
| Mar 31, 2022 | 5.40 Mn |
| Dec 31, 2021 | 18.91 Mn |
| Sep 30, 2021 | 12.38 Mn |
| Jun 30, 2021 | 16.30 Mn |
| Mar 31, 2021 | 2.42 Mn |
| Dec 31, 2020 | 9.14 Mn |
ExlService Holdings Income Taxes Paid 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=income-taxes-paid&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();