Infosys (INFY) Long-Term Investments (2010 - 2026)
Infosys (INFY) reported Long-Term Investments of $924 million for the quarter ended Jun 30, 2026, down 25.5% from $1.24 billion a year earlier and down 5.4% from the prior quarter.
Infosys (INFY) Long-Term Investments (2010 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys posted Long-Term Investments of $942 million, down 27.2% from the prior year.
- Long-Term Investments has a five-year compound annual growth rate of -10.3% (years ended Mar 2021 to Mar 2026).
- By year, Long-Term Investments came in at $1.29 billion in the year ended Mar 31, 2025, -$2 billion in the year ended Mar 31, 2024, $1.53 billion in the year ended Mar 31, 2023 and -$3 million in the year ended Mar 31, 2022.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Long-Term Investments since the quarter ended Jun 30, 2020.
- Year over year, Long-Term Investments has now declined in each of the last three quarters, with an average decline of 13.4% over the last eight quarters.
- The high point for year-over-year Long-Term Investments in five years was the quarter ended Dec 31, 2021 (growth of 48.4%); the low point was the quarter ended Jun 30, 2026 (a decline of 25.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $976.87 million (quarter ended Mar 31, 2026), $990 million (quarter ended Dec 31, 2025) and $1.23 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 924.00 Mn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 106.00 Mn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 308.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | - |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | - |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | 62.15 Mn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | - |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 924.00 Mn |
| Mar 31, 2026 | 942.00 Mn |
| Dec 31, 2025 | 990.00 Mn |
| Sep 30, 2025 | 1.23 Bn |
| Jun 30, 2025 | 1.24 Bn |
| Mar 31, 2025 | 1.29 Bn |
| Dec 31, 2024 | 1.11 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.34 Bn |
| Mar 31, 2024 | 1.40 Bn |
| Dec 31, 2023 | 1.35 Bn |
| Sep 30, 2023 | 1.41 Bn |
| Jun 30, 2023 | 1.46 Bn |
| Mar 31, 2023 | 1.53 Bn |
| Dec 31, 2022 | 1.50 Bn |
| Sep 30, 2022 | 1.56 Bn |
| Jun 30, 2022 | 1.66 Bn |
| Dec 31, 2021 | 1.62 Bn |
| Sep 30, 2021 | 1.36 Bn |
| Jun 30, 2021 | 1.61 Bn |
Infosys Long-Term Investments 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=long-term-investments&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();