Infosys (INFY) Intangibles (2009 - 2026)
Infosys (INFY) posted Intangibles of $486.0 million for Q2 2026, up 57.27% on a QoQ basis from $309.0 million in Q1 2026, and down 86.86% year-over-year from $3.7 billion in Q2 2025.
Infosys (INFY) Intangibles (2009 - 2026) Analysis & Trends
Infosys has reported Intangibles for 18 years, with the latest figure at $486.0 million in Q2 2026.
- On a quarterly basis, Intangibles fell 86.86% year-over-year to $486.0 million in Q2 2026; TTM through Jun 2026 was $486.0 million, a 86.86% decrease from a year earlier, with the FY2026 full-year figure at $298.0 million, down 7.74% from the prior year.
- Intangibles was $486.0 million for Q2 2026 at Infosys, up from $309.0 million in the prior quarter.
- The five-year high for Intangibles was $3.7 billion in Q2 2025, with the low at $167.0 million in Q2 2024.
- Average Intangibles over 5 years is $982.1 million, with a median of $226.0 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: Intangibles sank 99.92% in 2022, then jumped 2115.57% in 2025.
- Over 5 years, Intangibles stood at $222.0 million in 2022, then decreased by 18.47% to $181.0 million in 2023, then soared by 1822.65% to $3.5 billion in 2024, then retreated by 1.72% to $3.4 billion in 2025, then plunged by 85.79% to $486.0 million in 2026.
- The last three Intangibles figures came in at $486.0 million (Q2 2026), $309.0 million (Q1 2026), and $3.4 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 590.76 Mn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 372.97 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 697.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 29.72 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 328.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 14.19 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | - |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn | 1.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 486.00 Mn |
| Mar 31, 2026 | 309.03 Mn |
| Dec 31, 2025 | 3.42 Bn |
| Sep 30, 2025 | 3.57 Bn |
| Jun 30, 2025 | 3.70 Bn |
| Mar 31, 2025 | 319.42 Mn |
| Dec 31, 2024 | 3.48 Bn |
| Sep 30, 2024 | 388.00 Mn |
| Jun 30, 2024 | 167.00 Mn |
| Mar 31, 2024 | 168.22 Mn |
| Dec 31, 2023 | 181.00 Mn |
| Sep 30, 2023 | 186.00 Mn |
| Jun 30, 2023 | 200.00 Mn |
| Mar 31, 2023 | 212.76 Mn |
| Dec 31, 2022 | 222.00 Mn |
| Sep 30, 2022 | 225.00 Mn |
| Jun 30, 2022 | 217.00 Mn |
| Mar 31, 2022 | 227.02 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();