Infosys (INFY) Debt Ratio (2016 - 2026)
Infosys' (INFY) Debt Ratio came in at 0.02 for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 98.7% from 1.28 a year earlier.
Infosys (INFY) Debt Ratio (2016 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Debt Ratio at Infosys was 0.03, down 98.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was -0.08.
- In prior fiscal years, Infosys' Debt Ratio was -0.11 in FY2025, -0.11 in FY2024, 0.02 in FY2023 (+77.2%) and 0.01 in FY2022 (+698.8%).
- Quarterly Debt Ratio has run from a low of -0.11 in fiscal Q4 2025 to a high of 1.38 in fiscal Q2 2024 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | 0.00 |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 0.07 |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 0.36 |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 0.13 |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 0.06 |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 0.01 |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 0.21 |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 0.25 |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 0.46 |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn | 0.17 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -0.08 |
| Dec 31, 2025 | 0.01 |
| Sep 30, 2025 | 0.11 |
| Mar 31, 2025 | -0.11 |
| Mar 31, 2024 | -0.11 |
| Sep 30, 2023 | 1.38 |
| Mar 31, 2023 | 0.02 |
| Mar 31, 2022 | 0.01 |
| Sep 30, 2021 | 1.48 |
| Mar 31, 2021 | 0.00 |
| Dec 31, 2020 | 0.00 |
| Sep 30, 2020 | 0.60 |
| Mar 31, 2020 | 0.01 |
| Dec 31, 2019 | 0.01 |
| Jun 30, 2019 | 0.01 |
| Mar 31, 2019 | 0.14 |
| Dec 31, 2018 | 0.21 |
| Sep 30, 2018 | 0.19 |
| Mar 31, 2018 | 11.29 |
| Mar 31, 2017 | 15.84 |
Infosys Debt Ratio 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=debt-ratio&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();