Infosys (INFY) Interest Expenses (2019 - 2026)
Infosys (INFY) reported Interest Expenses of $12.57 million for the quarter ended Jun 30, 2026, up 2.5% from $12.27 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Infosys (INFY) Interest Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Infosys' Interest Expenses came in at $47.72 million, down 3.1% year-over-year; for the year ended Mar 31, 2026, it was $47 million, down 2.2% from the prior year.
- Interest Expenses has a five-year compound annual growth rate of 12.6% (years ended Mar 2021 to Mar 2026).
- By year, Interest Expenses came in at $48.04 million in the year ended Mar 31, 2025 (-15.1%), $56.6 million in the year ended Mar 31, 2024 (+63.8%), $34.55 million in the year ended Mar 31, 2023 (+28.0%) and $27 million in the year ended Mar 31, 2022 (+3.8%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Interest Expenses since the quarter ended Sep 30, 2024.
- Year over year, Interest Expenses gained in 1 of the last eight quarters, with an average decline of 9.2%.
- The high point for year-over-year Interest Expenses in five years was the quarter ended Sep 30, 2023 (growth of 112.5%); the low point was the quarter ended Dec 31, 2021 (a decline of 98.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $12 million (quarter ended Mar 31, 2026), $11 million (quarter ended Dec 31, 2025) and $12.15 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 12.57 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 13.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 22.08 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 66.46 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 76.25 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | - |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 33.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.57 Mn |
| Mar 31, 2026 | 12.00 Mn |
| Dec 31, 2025 | 11.00 Mn |
| Sep 30, 2025 | 12.15 Mn |
| Jun 30, 2025 | 12.27 Mn |
| Mar 31, 2025 | 12.00 Mn |
| Dec 31, 2024 | 12.00 Mn |
| Sep 30, 2024 | 13.00 Mn |
| Jun 30, 2024 | 12.71 Mn |
| Mar 31, 2024 | 13.25 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 17.00 Mn |
| Jun 30, 2023 | 10.95 Mn |
| Mar 31, 2023 | 9.98 Mn |
| Dec 31, 2022 | 10.00 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 7.00 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 7.00 Mn |
| Sep 30, 2021 | 6.00 Mn |
API Access
Infosys Interest Expenses 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=interest-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();