ExlService Holdings (EXLS) Goodwill & Intangibles (2009 - 2026)
ExlService Holdings (EXLS) posted Goodwill & Intangibles of $681.12 million for Q3 2026, up 48.3% from $459.38 million a year earlier and up 51.9% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Goodwill & Intangibles (2009 - 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 Q3 2026 figure stands as the highest quarterly Goodwill & Intangibles in data going back to Q4 2010.
- On a year-over-year basis, Goodwill & Intangibles increased in four of the last eight quarters, with growth averaging 5.5%.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q3 2026, with growth of 48.3%; the weakest was Q3 2025, with a decline of 4.1%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $448.41 million (Q2 2026), $451.64 million (Q1 2026) and $455.86 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 681.12 Mn |
| 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 |
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();