Infosys (INFY) Assets (2009 - 2026)
Infosys' Assets was $16.36 billion in the quarter ended Jun 30, 2026, down 6.2% from $17.45 billion a year earlier and down 4.1% from the prior quarter.
Infosys (INFY) Assets (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Assets at Infosys came in at $16.45 billion, down 5.6% from the prior year.
- Assets shows a five-year compound annual growth rate of 2.1% (years ended Mar 2021 to Mar 2026).
- In earlier years, Assets was $17.42 billion in the year ended Mar 31, 2025 (+5.4%), $16.52 billion in the year ended Mar 31, 2024 (+7.9%), $15.31 billion in the year ended Mar 31, 2023 (-2.3%) and $15.68 billion in the year ended Mar 31, 2022 (+5.8%).
- Quarterly Assets has moved between $14.3 billion (the quarter ended Sep 30, 2021) and $18.06 billion (the quarter ended Sep 30, 2025) over five years.
- Compared with a year earlier, Assets has declined for three straight quarters, with growth averaging 1.8% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was the quarter ended Sep 30, 2022 (growth of 9.4%); the worst was the quarter ended Jun 30, 2026 (a decline of 6.2%).
- Per Business Quant data, INFY's Assets in the three quarters before the quarter ended Jun 30, 2026 was $17.06 billion (quarter ended Mar 31, 2026), $15.95 billion (quarter ended Dec 31, 2025) and $18.06 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 16.36 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 20.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 38.51 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 17.25 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 38.38 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 15.43 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 21.53 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 4.57 Bn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 5.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.36 Bn |
| Mar 31, 2026 | 17.06 Bn |
| Dec 31, 2025 | 15.95 Bn |
| Sep 30, 2025 | 18.06 Bn |
| Jun 30, 2025 | 17.45 Bn |
| Mar 31, 2025 | 17.20 Bn |
| Dec 31, 2024 | 16.29 Bn |
| Sep 30, 2024 | 16.93 Bn |
| Jun 30, 2024 | 17.27 Bn |
| Mar 31, 2024 | 16.59 Bn |
| Dec 31, 2023 | 15.61 Bn |
| Sep 30, 2023 | 15.69 Bn |
| Jun 30, 2023 | 16.01 Bn |
| Mar 31, 2023 | 15.31 Bn |
| Dec 31, 2022 | 15.23 Bn |
| Sep 30, 2022 | 15.64 Bn |
| Jun 30, 2022 | 15.19 Bn |
| Mar 31, 2022 | 15.68 Bn |
| Dec 31, 2021 | 14.67 Bn |
| Sep 30, 2021 | 14.30 Bn |
Infosys Assets 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=assets&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();