ExlService Holdings (EXLS) Goodwill & Intangibles (2010 - 2026)
ExlService Holdings (EXLS) posted Goodwill & Intangibles of $448.41 million for Q2 2026, down 3.2% from $463.4 million a year earlier and down 0.7% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, ExlService Holdings' Goodwill & Intangibles came in at $455.86 million, down 3.0% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In prior years, ExlService Holdings' Goodwill & Intangibles was $469.72 million in FY2024 (+3.1%), $455.8 million in FY2023 (-3.1%), $470.46 million in FY2022 (-3.0%) and $484.98 million in FY2021 (+18.7%).
- The Q2 2026 figure stands as the lowest quarterly Goodwill & Intangibles since Q3 2021.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last four quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q2 2022, with growth of 19.5%; the weakest was Q3 2025, with a decline of 4.1%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $451.64 million (Q1 2026), $455.86 million (Q4 2025) and $459.38 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 448.41 Mn |
| Mar 31, 2026 | 451.64 Mn |
| Dec 31, 2025 | 455.86 Mn |
| Sep 30, 2025 | 459.38 Mn |
| Jun 30, 2025 | 463.40 Mn |
| Mar 31, 2025 | 466.59 Mn |
| Dec 31, 2024 | 469.72 Mn |
| Sep 30, 2024 | 478.95 Mn |
| Jun 30, 2024 | 449.58 Mn |
| Mar 31, 2024 | 452.65 Mn |
| Dec 31, 2023 | 455.80 Mn |
| Sep 30, 2023 | 458.89 Mn |
| Jun 30, 2023 | 462.39 Mn |
| Mar 31, 2023 | 466.51 Mn |
| Dec 31, 2022 | 470.46 Mn |
| Sep 30, 2022 | 474.79 Mn |
| Jun 30, 2022 | 479.87 Mn |
| Mar 31, 2022 | 481.14 Mn |
| Dec 31, 2021 | 484.98 Mn |
| Sep 30, 2021 | 398.51 Mn |
API Access
ExlService Holdings Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();