ExlService Holdings (EXLS) Tax Provisions (2010 - 2026)
ExlService Holdings (EXLS) reported Tax Provisions of $17.94 million for Q3 2026, up 9.0% from $16.46 million a year earlier but down 7.7% from the prior quarter.
ExlService Holdings (EXLS) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, ExlService Holdings' Tax Provisions came in at $76.91 million, up 12.5% year-over-year; for FY2025, it came in at $63.73 million, up 1.3% from FY2024.
- Tax Provisions has increased for seven consecutive years, with a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- By year, Tax Provisions came in at $62.94 million in FY2024 (+17.6%), $53.54 million in FY2023 (+12.6%), $47.57 million in FY2022 (+49.3%) and $31.85 million in FY2021 (+24.3%).
- Five-year quarterly Tax Provisions spans a low of $8.06 million in Q1 2023 and a high of $24.32 million in Q1 2026.
- Year over year, Tax Provisions has now increased in each of the last three quarters, with growth averaging 16.9% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was Q3 2022 (growth of 196.6%); the low point was Q1 2023 (a decline of 28.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $19.43 million (Q2 2026), $24.32 million (Q1 2026) and $15.23 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 337.00 Mn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 237.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | -105.00 Mn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 114.10 Mn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 121.97 Mn |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 139.01 Mn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 80.31 Mn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 46.03 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 33.58 Mn |
| 10 | ExlService Holdings | 6.58 Bn | 5.38 Bn | 241.14 Mn | 17.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.94 Mn |
| Jun 30, 2026 | 19.43 Mn |
| Mar 31, 2026 | 24.32 Mn |
| Dec 31, 2025 | 15.23 Mn |
| Sep 30, 2025 | 16.46 Mn |
| Jun 30, 2025 | 18.55 Mn |
| Mar 31, 2025 | 13.50 Mn |
| Dec 31, 2024 | 19.85 Mn |
| Sep 30, 2024 | 15.46 Mn |
| Jun 30, 2024 | 13.87 Mn |
| Mar 31, 2024 | 13.75 Mn |
| Dec 31, 2023 | 15.76 Mn |
| Sep 30, 2023 | 14.16 Mn |
| Jun 30, 2023 | 15.55 Mn |
| Mar 31, 2023 | 8.06 Mn |
| Dec 31, 2022 | 12.79 Mn |
| Sep 30, 2022 | 12.45 Mn |
| Jun 30, 2022 | 11.13 Mn |
| Mar 31, 2022 | 11.20 Mn |
| Dec 31, 2021 | 9.83 Mn |
ExlService Holdings Tax Provisions 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=tax-provisions&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();