ExlService Holdings (EXLS) Current Assets (2010 - 2026)
ExlService Holdings (EXLS) posted Current Assets of $959.14 million for Q3 2026, up 7.5% from $891.95 million a year earlier and up 9.6% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, ExlService Holdings' Current Assets came in at $829.96 million, up 4.4% from FY2024.
- Annual Current Assets has increased for four consecutive years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, ExlService Holdings' Current Assets was $795.19 million in FY2024 (+17.0%), $679.67 million in FY2023 (+10.9%), $612.79 million in FY2022 (+6.0%) and $578.14 million in FY2021 (-5.1%).
- The Q3 2026 figure stands as the highest quarterly Current Assets in data going back to Q4 2010.
- On a year-over-year basis, Current Assets increased in seven of the last eight quarters, with growth averaging 11.3%.
- The strongest year-over-year quarter for Current Assets in the past five years was Q1 2025, with growth of 25.1%; the weakest was Q4 2021, with a decline of 5.1%.
- According to Business Quant data, Current Assets for the three prior quarters was $875.28 million (Q2 2026), $797.36 million (Q1 2026) and $829.96 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 8.09 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 7.60 Bn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 11.36 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 3.52 Bn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 32.89 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 34.99 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 2.33 Bn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 959.14 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 13.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 959.14 Mn |
| Jun 30, 2026 | 875.28 Mn |
| Mar 31, 2026 | 797.36 Mn |
| Dec 31, 2025 | 829.96 Mn |
| Sep 30, 2025 | 891.95 Mn |
| Jun 30, 2025 | 858.32 Mn |
| Mar 31, 2025 | 831.31 Mn |
| Dec 31, 2024 | 795.19 Mn |
| Sep 30, 2024 | 767.69 Mn |
| Jun 30, 2024 | 703.71 Mn |
| Mar 31, 2024 | 664.72 Mn |
| Dec 31, 2023 | 679.67 Mn |
| Sep 30, 2023 | 651.57 Mn |
| Jun 30, 2023 | 613.18 Mn |
| Mar 31, 2023 | 566.23 Mn |
| Dec 31, 2022 | 612.79 Mn |
| Sep 30, 2022 | 580.58 Mn |
| Jun 30, 2022 | 561.01 Mn |
| Mar 31, 2022 | 572.62 Mn |
| Dec 31, 2021 | 578.14 Mn |
API Access
ExlService Holdings Current Assets 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=current-assets&ticker=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();