Infosys (INFY) Non Operating Interest Expenses (2019 - 2026)
Infosys' Non Operating Interest Expenses came in at $12 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), unchanged from $12 million a year earlier and down 7.7% from the prior quarter.
Infosys (INFY) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Infosys reported Non Operating Interest Expenses of $2.08 billion, up 98.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $47 million, down 4.1% from FY2025.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 12.6% (FY2021 to FY2026).
- Going back by fiscal year, Non Operating Interest Expenses was $49 million in FY2025 (-12.5%), $56 million in FY2024 (+60.0%), $35 million in FY2023 (+29.6%) and $27 million in FY2022 (+3.8%).
- The five-year range for quarterly Non Operating Interest Expenses is $6 million (fiscal Q4 2022) to $1.31 billion (fiscal Q3 2024).
- Year-over-year, Non Operating Interest Expenses increased in 1 of the last seven quarters, with an average decline of 5.5%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q2 2024 (growth of 112.5%), and the weakest in fiscal Q4 2022 (a decline of 98.8%).
- Business Quant data shows INFY's Non Operating Interest Expenses at $13 million (Q1 2027), $1.05 billion (Q4 2026) and $1 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 1.15 Bn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 19.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | - |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | - |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 22.08 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | - |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | - |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 91.85 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 6.34 Mn |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | 79.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.15 Bn |
| Jun 30, 2026 | 1.19 Bn |
| Mar 31, 2026 | 1.05 Bn |
| Dec 31, 2025 | 1.00 Bn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 12.00 Mn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 1.01 Bn |
| Sep 30, 2024 | 13.00 Mn |
| Jun 30, 2024 | 13.00 Mn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.31 Bn |
| Sep 30, 2023 | 17.00 Mn |
| Jun 30, 2023 | 900.00 Mn |
| Mar 31, 2023 | 820.00 Mn |
| Dec 31, 2022 | 800.00 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 7.00 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 530.00 Mn |
Infosys Non Operating 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=non-operating-interest-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();