ExlService Holdings (EXLS) Short-term Investments (2010 - 2026)
ExlService Holdings (EXLS) posted Short-term Investments of $157.1 million for Q2 2026, down 23.0% from $204.16 million a year earlier but up 45.0% from the prior quarter.
ExlService Holdings (EXLS) Short-term Investments (2010 - 2026) Analysis & Trends
At the end of FY2025, ExlService Holdings' Short-term Investments came in at $182.04 million, down 2.8% from FY2024.
- Annual Short-term Investments shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In prior years, ExlService Holdings' Short-term Investments was $187.22 million in FY2024 (+21.7%), $153.88 million in FY2023 (-14.0%), $179.03 million in FY2022 (-0.2%) and $179.43 million in FY2021 (-2.6%).
- Quarterly Short-term Investments has run from a low of $108.36 million in Q1 2026 to a high of $229.83 million in Q3 2025 over five years.
- On a year-over-year basis, Short-term Investments has declined in each of the last three quarters, with growth averaging 8.1% over the last eight quarters.
- The strongest year-over-year quarter for Short-term Investments in the past five years was Q1 2025, with growth of 38.8%; the weakest was Q1 2026, with a decline of 43.3%.
- According to Business Quant data, Short-term Investments for the three prior quarters was $108.36 million (Q1 2026), $182.04 million (Q4 2025) and $229.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn |
| 10 | ExlService Holdings | 6.07 Bn | 4.81 Bn | 225.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.10 Mn |
| Mar 31, 2026 | 108.36 Mn |
| Dec 31, 2025 | 182.04 Mn |
| Sep 30, 2025 | 229.83 Mn |
| Jun 30, 2025 | 204.16 Mn |
| Mar 31, 2025 | 190.98 Mn |
| Dec 31, 2024 | 187.22 Mn |
| Sep 30, 2024 | 175.65 Mn |
| Jun 30, 2024 | 160.83 Mn |
| Mar 31, 2024 | 137.59 Mn |
| Dec 31, 2023 | 153.88 Mn |
| Sep 30, 2023 | 151.58 Mn |
| Jun 30, 2023 | 156.10 Mn |
| Mar 31, 2023 | 116.48 Mn |
| Dec 31, 2022 | 179.03 Mn |
| Sep 30, 2022 | 172.89 Mn |
| Jun 30, 2022 | 158.94 Mn |
| Mar 31, 2022 | 162.69 Mn |
| Dec 31, 2021 | 179.43 Mn |
| Sep 30, 2021 | 169.74 Mn |
ExlService Holdings Short-term Investments 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=short-term-investments&ticker=EXLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();