Infosys (INFY) Times Interest Earned (2019 - 2026)
Infosys' (INFY) Times Interest Earned came in at 89.92 for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 1.3% from 88.75 a year earlier and up 9.0% from the prior quarter.
Powered by 
Analysis
Infosys (INFY) Times Interest Earned (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Times Interest Earned at Infosys was 41.81, up 956.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 86.91, up 4.6% from FY2025.
- In prior fiscal years, Infosys' Times Interest Earned was 83.08 in FY2025 (+21.4%), 68.46 in FY2024 (-37.4%), 109.29 in FY2023 (-21.4%) and 139.07 in FY2022 (+8.7%).
- The fiscal Q2 2027 figure stands as the highest quarterly Times Interest Earned since fiscal Q2 2023.
- On a year-over-year basis, Times Interest Earned increased in five of the last seven quarters, with an average decline of 2.5%.
- The strongest year-over-year quarter for Times Interest Earned in the past five years was fiscal Q3 2025, with growth of 42.9%; the weakest was fiscal Q4 2023, with a decline of 99.2%.
- According to Business Quant data, Times Interest Earned for the three prior fiscal quarters was 82.46 (Q1 2027), 1.00 (Q4 2026) and 83.55 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 89.92 |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 45.89 |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 4.57 |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | - |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 21.76 |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | - |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | - |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | - |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 14.02 |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 3.48 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.92 |
| Jun 30, 2026 | 82.46 |
| Mar 31, 2026 | 87.92 |
| Dec 31, 2025 | 85.18 |
| Sep 30, 2025 | 88.75 |
| Jun 30, 2025 | 85.67 |
| Mar 31, 2025 | 82.67 |
| Dec 31, 2024 | 1.04 |
| Sep 30, 2024 | 79.46 |
| Jun 30, 2024 | 76.46 |
| Mar 31, 2024 | 0.83 |
| Dec 31, 2023 | 0.73 |
| Sep 30, 2023 | 58.82 |
| Jun 30, 2023 | 87.36 |
| Mar 31, 2023 | 1.17 |
| Dec 31, 2022 | 100.10 |
| Sep 30, 2022 | 122.38 |
| Jun 30, 2022 | 126.86 |
| Mar 31, 2022 | 153.33 |
| Dec 31, 2021 | 142.57 |
API Access
Infosys Times Interest Earned 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=times-interest-earned&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();