Infosys (INFY) Loans - Gross (2016 - 2026)
Infosys (INFY) posted Loans - Gross of $422,510 for the quarter ended Jun 30, 2026, down 69.9% from $1.4 million a year earlier and down 35.6% from the prior quarter.
Infosys (INFY) Loans - Gross (2016 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys' Loans - Gross came in at $656,350, down 64.5% from the prior year.
- Annual Loans - Gross has declined for three consecutive years, with a five-year compound annual growth rate of -31.6% (years ended Mar 2021 to Mar 2026).
- In prior years, Infosys' Loans - Gross was $1.85 million in the year ended Mar 31, 2025 (-54.9%), $4.09 million in the year ended Mar 31, 2024 (-13.7%), $4.74 million in the year ended Mar 31, 2023 (+4.9%) and $4.52 million in the year ended Mar 31, 2022 (+3.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Loans - Gross since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Loans - Gross increased in 1 of the last six quarters, with an average decline of 7.9%.
- The strongest year-over-year quarter for Loans - Gross in the past five years was the quarter ended Dec 31, 2025, with growth of 306.3%; the weakest was the quarter ended Sep 30, 2024, with a decline of 99.2%.
- According to Business Quant data, Loans - Gross for the three prior quarters was $656,350 (quarter ended Mar 31, 2026), $1.01 million (quarter ended Dec 31, 2025) and $1.03 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Gross (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 422,510.33 |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | - |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 422,510.33 |
| Mar 31, 2026 | 656,349.61 |
| Dec 31, 2025 | 1.01 Mn |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 1.40 Mn |
| Mar 31, 2025 | 1.85 Mn |
| Dec 31, 2024 | 248,717.52 |
| Sep 30, 2024 | 2.98 Mn |
| Mar 31, 2024 | 4.09 Mn |
| Sep 30, 2023 | 380.00 Mn |
| Jun 30, 2023 | 4.14 Mn |
| Mar 31, 2023 | 4.74 Mn |
| Sep 30, 2022 | 5.90 Mn |
| Jun 30, 2022 | 5.97 Mn |
| Mar 31, 2022 | 4.52 Mn |
| Mar 31, 2021 | 4.39 Mn |
| Dec 31, 2020 | 300.00 Mn |
| Sep 30, 2020 | 3.09 Mn |
| Jun 30, 2020 | 2.50 Mn |
| Mar 31, 2020 | 2.90 Mn |
Infosys Loans - Gross 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=loans-gross&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "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=loans-gross&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();