Infosys (INFY) Goodwill (2009 - 2026)
Infosys (INFY) posted Goodwill of $1.56 billion for the quarter ended Jun 30, 2026, up 20.1% from $1.3 billion a year earlier and up 17.4% from the prior quarter.
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Analysis
Infosys (INFY) Goodwill (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys' Goodwill came in at $1.28 billion, up 8.1% from the prior year.
- Annual Goodwill shows a five-year compound annual growth rate of 9.0% (years ended Mar 2021 to Mar 2026).
- In prior years, Infosys' Goodwill was $1.18 billion in the year ended Mar 31, 2025 (+35.1%), $875 million in the year ended Mar 31, 2024 (-0.8%), $882 million in the year ended Mar 31, 2023 (+8.0%) and $817 million in the year ended Mar 31, 2022 (-1.8%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Goodwill since the quarter ended Dec 31, 2019.
- On a year-over-year basis, Goodwill has increased in each of the last nine quarters, with growth averaging 24.9% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill in the past five years was the quarter ended Jun 30, 2025, with growth of 45.9%; the weakest was the quarter ended Dec 31, 2021, with a decline of 2.9%.
- According to Business Quant data, Goodwill for the three prior quarters was $1.33 billion (quarter ended Mar 31, 2026), $1.29 billion (quarter ended Dec 31, 2025) and $1.3 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.56 Bn |
| Mar 31, 2026 | 1.33 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 1.30 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.16 Bn |
| Sep 30, 2024 | 1.22 Bn |
| Jun 30, 2024 | 888.00 Mn |
| Mar 31, 2024 | 879.39 Mn |
| Dec 31, 2023 | 894.00 Mn |
| Sep 30, 2023 | 872.00 Mn |
| Jun 30, 2023 | 882.00 Mn |
| Mar 31, 2023 | 881.71 Mn |
| Dec 31, 2022 | 876.00 Mn |
| Sep 30, 2022 | 847.00 Mn |
| Jun 30, 2022 | 813.00 Mn |
| Mar 31, 2022 | 823.88 Mn |
| Dec 31, 2021 | 823.00 Mn |
| Sep 30, 2021 | 825.00 Mn |
API Access
Infosys Goodwill 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&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "ticker": "INFY", "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&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();