ExlService Holdings (EXLS) Tax Provisions (2010 - 2026)
ExlService Holdings (EXLS) reported Tax Provisions of $19.43 million for Q2 2026, up 4.7% from $18.55 million a year earlier but down 20.1% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ExlService Holdings' Tax Provisions came in at $75.43 million, up 12.0% 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 $4.2 million in Q3 2021 and a high of $24.32 million in Q1 2026.
- Year over year, Tax Provisions gained in six of the last eight quarters, with growth averaging 16.9%.
- The high point for year-over-year Tax Provisions in five years was Q3 2022 (growth of 196.6%); the low point was Q3 2021 (a decline of 50.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.32 million (Q1 2026), $15.23 million (Q4 2025) and $16.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 343.00 Mn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 231.00 Mn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | -103.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 99.00 Mn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 139.01 Mn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 121.97 Mn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 80.31 Mn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 33.58 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 37.57 Mn |
| 10 | ExlService Holdings | 6.24 Bn | 4.99 Bn | 225.96 Mn | 19.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 4.20 Mn |
API Access
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_KEYimport 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();