Infosys (INFY) Goodwill & Intangibles (2009 - 2026)
Infosys (INFY) reported Goodwill & Intangibles of $2.04 billion for the quarter ended Jun 30, 2026, up 22.6% from $1.67 billion a year earlier and up 24.9% from the prior quarter.
Infosys (INFY) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys posted Goodwill & Intangibles of $1.58 billion, up 4.7% from the prior year.
- Goodwill & Intangibles has a five-year compound annual growth rate of 152.7% (years ended Mar 2021 to Mar 2026).
- By year, Goodwill & Intangibles came in at $1.51 billion in the year ended Mar 31, 2025 (+44.4%), $1.04 billion in the year ended Mar 31, 2024 (-4.8%), $1.1 billion in the year ended Mar 31, 2023 and $13.86 million in the year ended Mar 31, 2022 (-9.4%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Goodwill & Intangibles since the quarter ended Dec 31, 2019.
- Year over year, Goodwill & Intangibles has now increased in each of the last eight quarters, with growth averaging 29.5% over the last eight quarters.
- The high point for year-over-year Goodwill & Intangibles in five years was the quarter ended Jun 30, 2025 (growth of 57.9%); the low point was the quarter ended Mar 31, 2022 (a decline of 9.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.63 billion (quarter ended Mar 31, 2026), $1.64 billion (quarter ended Dec 31, 2025) and $1.65 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 53.66 Bn | 40.21 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 33.32 Bn | 26.49 Bn | 1.83 Bn |
| 3 | Wipro | 22.86 Bn | 18.03 Bn | 745.00 Mn |
| 4 | Cdw | 20.63 Bn | 18.61 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.71 Bn | 13.87 Bn | 1.43 Bn |
| 6 | Cgi | 18.28 Bn | 16.08 Bn | - |
| 7 | Arrow Electronics | 10.66 Bn | 9.69 Bn | 1.13 Bn |
| 8 | Avnet | 7.27 Bn | 6.46 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.15 Bn | 2.79 Bn | 429.57 Mn |
| 10 | ExlService Holdings | 6.51 Bn | 5.26 Bn | 225.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.04 Bn |
| Mar 31, 2026 | 1.58 Bn |
| Dec 31, 2025 | 1.64 Bn |
| Sep 30, 2025 | 1.65 Bn |
| Jun 30, 2025 | 1.67 Bn |
| Mar 31, 2025 | 1.51 Bn |
| Dec 31, 2024 | 1.51 Bn |
| Sep 30, 2024 | 1.60 Bn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 1.06 Bn |
| Jun 30, 2023 | 1.08 Bn |
| Mar 31, 2023 | 1.10 Bn |
| Dec 31, 2022 | 1.10 Bn |
| Sep 30, 2022 | 1.07 Bn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | 1.06 Bn |
| Sep 30, 2021 | 1.08 Bn |
Infosys 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=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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-and-intangibles&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();