Infosys (INFY) Total Debt (2009 - 2026)
Infosys (INFY) posted Total Debt of $2.24 billion for the quarter ended Jun 30, 2026, up 1.8% from $2.2 billion a year earlier.
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Analysis
Infosys (INFY) Total Debt (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Infosys' Total Debt came in at $2.41 billion, up 14.9% from the prior year.
- Annual Total Debt shows a five-year compound annual growth rate of 9.0% (years ended Mar 2021 to Mar 2026).
- In prior years, Infosys' Total Debt was $2.1 billion in the year ended Mar 31, 2025 (+2.7%), $2.05 billion in the year ended Mar 31, 2024 (-9.8%), $2.27 billion in the year ended Mar 31, 2023 (+7.2%) and $2.11 billion in the year ended Mar 31, 2022 (+34.7%).
- Quarterly Total Debt has run from a low of -$30.14 billion in the quarter ended Mar 31, 2026 to a high of $27.55 billion in the quarter ended Sep 30, 2021 over five years.
- The strongest year-over-year quarter for Total Debt in the past five years was the quarter ended Dec 31, 2025, with growth of 931.5%; the weakest was the quarter ended Sep 30, 2023, with a decline of 99.6%.
- According to Business Quant data, Total Debt for the three prior quarters was -$30.14 billion (quarter ended Mar 31, 2026), $2.29 billion (quarter ended Dec 31, 2025) and $2.36 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 2.24 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 1.56 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 4.72 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 5.82 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 2.66 Bn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 2.17 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 3.23 Bn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 3.80 Bn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 25.00 Mn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 2.49 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24 Bn |
| Mar 31, 2026 | -30.14 Bn |
| Dec 31, 2025 | 2.29 Bn |
| Sep 30, 2025 | 2.36 Bn |
| Jun 30, 2025 | 2.20 Bn |
| Mar 31, 2025 | 2.10 Bn |
| Dec 31, 2024 | 222.12 Mn |
| Sep 30, 2024 | 2.17 Bn |
| Jun 30, 2024 | -263.49 Mn |
| Mar 31, 2024 | 2.05 Bn |
| Dec 31, 2023 | 17.29 Mn |
| Sep 30, 2023 | 9.31 Mn |
| Jun 30, 2023 | 2.65 Bn |
| Mar 31, 2023 | 2.27 Bn |
| Dec 31, 2022 | 27.40 Mn |
| Sep 30, 2022 | 2.22 Bn |
| Jun 30, 2022 | 2.36 Bn |
| Mar 31, 2022 | 2.11 Bn |
| Dec 31, 2021 | 6.00 Mn |
| Sep 30, 2021 | 27.55 Bn |
API Access
Infosys Total Debt 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=total-debt&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();