ExlService Holdings (EXLS) Capital Expenditures (2010 - 2026)
ExlService Holdings (EXLS) reported Capital Expenditures of $16.69 million for Q3 2026, up 16.2% from $14.36 million a year earlier and up 15.0% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, ExlService Holdings' Capital Expenditures came in at $55 million, up 6.2% year-over-year; for FY2025, it came in at $52.6 million, up 13.7% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $46.26 million in FY2024 (-12.4%), $52.8 million in FY2023 (+17.8%), $44.84 million in FY2022 (+20.4%) and $37.25 million in FY2021 (-11.8%).
- The Q3 2026 figure ranks as the highest quarterly Capital Expenditures in data going back to Q3 2010.
- Year over year, Capital Expenditures gained in six of the last eight quarters, with growth averaging 7.1%.
- The high point for year-over-year Capital Expenditures in five years was Q3 2023 (growth of 112.8%); the low point was Q3 2022 (a decline of 22.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $14.51 million (Q2 2026), $12.93 million (Q1 2026) and $10.87 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | -86.00 Mn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 79.00 Mn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | -44.58 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 26.80 Mn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | -20.01 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 58.88 Mn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 21.14 Mn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 14.68 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 16.69 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 16.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.69 Mn |
| Jun 30, 2026 | 14.51 Mn |
| Mar 31, 2026 | 12.93 Mn |
| Dec 31, 2025 | 10.87 Mn |
| Sep 30, 2025 | 14.36 Mn |
| Jun 30, 2025 | 14.43 Mn |
| Mar 31, 2025 | 12.94 Mn |
| Dec 31, 2024 | 10.07 Mn |
| Sep 30, 2024 | 12.86 Mn |
| Jun 30, 2024 | 12.06 Mn |
| Mar 31, 2024 | 11.27 Mn |
| Dec 31, 2023 | 11.70 Mn |
| Sep 30, 2023 | 14.99 Mn |
| Jun 30, 2023 | 13.63 Mn |
| Mar 31, 2023 | 12.48 Mn |
| Dec 31, 2022 | 12.74 Mn |
| Sep 30, 2022 | 7.05 Mn |
| Jun 30, 2022 | 8.95 Mn |
| Mar 31, 2022 | 16.10 Mn |
| Dec 31, 2021 | 8.22 Mn |
API Access
ExlService Holdings Capital Expenditures 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=capital-expenditures&ticker=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();