Infosys (INFY) Intangibles (2009 - 2026)
Infosys (INFY) reported Intangibles of $486 million for the quarter ended Jun 30, 2026, up 31.4% from $370 million a year earlier and up 57.3% from the prior quarter.
Infosys (INFY) Intangibles (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys posted Intangibles of $298 million, down 7.7% from the prior year.
- Intangibles has a five-year compound annual growth rate of 1.0% (years ended Mar 2021 to Mar 2026).
- By year, Intangibles came in at $323 million in the year ended Mar 31, 2025 (+93.4%), $167 million in the year ended Mar 31, 2024 (-21.6%), $213 million in the year ended Mar 31, 2023 (-5.3%) and $225 million in the year ended Mar 31, 2022 (-20.5%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Intangibles since the quarter ended Jun 30, 2022.
- Year over year, Intangibles gained in five of the last eight quarters, with growth averaging 53.8%.
- The high point for year-over-year Intangibles in five years was the quarter ended Jun 30, 2022 (growth of 697.8%); the low point was the quarter ended Jun 30, 2023 (a decline of 90.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $309.03 million (quarter ended Mar 31, 2026), $342 million (quarter ended Dec 31, 2025) and $357 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 548.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 3.56 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | 1.10 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 575.12 Mn |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 67.51 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 372.97 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 662.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 486.00 Mn |
| Mar 31, 2026 | 298.00 Mn |
| Dec 31, 2025 | 342.00 Mn |
| Sep 30, 2025 | 357.00 Mn |
| Jun 30, 2025 | 370.00 Mn |
| Mar 31, 2025 | 323.00 Mn |
| Dec 31, 2024 | 348.00 Mn |
| Sep 30, 2024 | 388.00 Mn |
| Jun 30, 2024 | 167.00 Mn |
| Mar 31, 2024 | 167.00 Mn |
| Dec 31, 2023 | 181.00 Mn |
| Sep 30, 2023 | 186.00 Mn |
| Jun 30, 2023 | 200.00 Mn |
| Mar 31, 2023 | 213.00 Mn |
| Dec 31, 2022 | 222.00 Mn |
| Sep 30, 2022 | 225.00 Mn |
| Jun 30, 2022 | 217.00 Mn |
| Mar 31, 2022 | 225.00 Mn |
| Dec 31, 2021 | 239.00 Mn |
| Sep 30, 2021 | 255.00 Mn |
Infosys 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=intangibles&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();