Infosys (INFY) Debt Ratio (2009 - 2026)
Infosys' (INFY) Debt Ratio came in at 0.14 for the quarter ended Jun 30, 2026, up 8.6% from 0.13 a year earlier.
Analysis
Infosys (INFY) Debt Ratio (2009 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Infosys' Debt Ratio stood at 0.15, up 21.7% from the prior year.
- In prior years, Infosys' Debt Ratio was 0.12 in the year ended Mar 31, 2025 (-2.5%), 0.12 in the year ended Mar 31, 2024 (-16.4%), 0.15 in the year ended Mar 31, 2023 (+9.8%) and 0.13 in the year ended Mar 31, 2022 (+27.4%).
- Quarterly Debt Ratio has run from a low of -1.77 in the quarter ended Mar 31, 2026 to a high of 1.93 in the quarter ended Sep 30, 2021 over five years.
- On a year-over-year basis, Debt Ratio increased in three of the last four quarters, with growth averaging 240.8%.
- The strongest year-over-year quarter for Debt Ratio in the past five years was the quarter ended Dec 31, 2025, with growth of 953.4%; the weakest was the quarter ended Sep 30, 2023, with a decline of 99.6%.
- According to Business Quant data, Debt Ratio for the three prior quarters was -1.77 (quarter ended Mar 31, 2026), 0.14 (quarter ended Dec 31, 2025) and 0.13 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 0.14 |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 0.07 |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 0.12 |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 0.34 |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 0.06 |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 0.21 |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 0.18 |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 0.01 |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 0.46 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.14 |
| Mar 31, 2026 | -1.77 |
| Dec 31, 2025 | 0.14 |
| Sep 30, 2025 | 0.13 |
| Jun 30, 2025 | 0.13 |
| Mar 31, 2025 | 0.12 |
| Dec 31, 2024 | 0.01 |
| Sep 30, 2024 | 0.13 |
| Jun 30, 2024 | -0.02 |
| Mar 31, 2024 | 0.12 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 0.17 |
| Mar 31, 2023 | 0.15 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | 0.14 |
| Jun 30, 2022 | 0.16 |
| Mar 31, 2022 | 0.13 |
| Dec 31, 2021 | 0.00 |
| Sep 30, 2021 | 1.93 |
API Access
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();