ExlService Holdings (EXLS) Cash & Equivalents (2010 - 2026)
ExlService Holdings (EXLS) recorded Cash & Equivalents of $126.72 million in Q2 2026, down 15.0% from $149.13 million a year earlier and down 12.8% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, ExlService Holdings reported Cash & Equivalents of $146.33 million, down 4.6% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $153.36 million in FY2024 (+12.0%), $136.95 million in FY2023 (+15.4%), $118.67 million in FY2022 (-12.3%) and $135.34 million in FY2021 (-38.1%).
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q2 2024.
- On a year-over-year basis, Cash & Equivalents rose in six of the last eight quarters, with growth averaging 10.5%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 37.4% in Q3 2023, against a decline of 44.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $145.41 million (Q1 2026), $146.33 million (Q4 2025) and $160.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 749.30 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 789.40 Mn |
| 10 | ExlService Holdings | 5.42 Bn | 4.17 Bn | 225.96 Mn | 126.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.72 Mn |
| Mar 31, 2026 | 145.41 Mn |
| Dec 31, 2025 | 146.33 Mn |
| Sep 30, 2025 | 160.31 Mn |
| Jun 30, 2025 | 149.13 Mn |
| Mar 31, 2025 | 140.44 Mn |
| Dec 31, 2024 | 153.36 Mn |
| Sep 30, 2024 | 150.10 Mn |
| Jun 30, 2024 | 115.30 Mn |
| Mar 31, 2024 | 108.57 Mn |
| Dec 31, 2023 | 136.95 Mn |
| Sep 30, 2023 | 122.66 Mn |
| Jun 30, 2023 | 93.96 Mn |
| Mar 31, 2023 | 87.30 Mn |
| Dec 31, 2022 | 118.67 Mn |
| Sep 30, 2022 | 89.26 Mn |
| Jun 30, 2022 | 106.30 Mn |
| Mar 31, 2022 | 106.54 Mn |
| Dec 31, 2021 | 135.34 Mn |
| Sep 30, 2021 | 114.58 Mn |
API Access
ExlService Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();