ExlService Holdings (EXLS) Cash & Equivalents (2009 - 2026)
ExlService Holdings (EXLS) recorded Cash & Equivalents of $154.07 million in Q3 2026, down 3.9% from $160.31 million a year earlier but up 21.6% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Cash & Equivalents (2009 - 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%).
- Quarterly Cash & Equivalents has ranged from $87.3 million in Q1 2023 to $160.31 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last eight quarters, with growth averaging 7.2%.
- 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 39.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $126.72 million (Q2 2026), $145.41 million (Q1 2026) and $146.33 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 1.52 Bn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 1.54 Bn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 749.30 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 440.31 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 215.61 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 965.17 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 236.78 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 154.07 Mn |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | 1.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 154.07 Mn |
| 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 |
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();