Infosys (INFY) Times Interest Earned (2019 - 2026)
Infosys' (INFY) Times Interest Earned came in at 85.40 for the quarter ended Jun 30, 2026, up 1.9% from 83.84 a year earlier but down 2.9% from the prior quarter.
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Analysis
Infosys (INFY) Times Interest Earned (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Times Interest Earned at Infosys was 86.71, up 4.0% year-over-year; for the year ended Mar 31, 2026, it came in at 93.09, up 12.5% from the prior year.
- In prior years, Infosys' Times Interest Earned was 82.75 in the year ended Mar 31, 2025 (+22.5%), 67.55 in the year ended Mar 31, 2024 (-37.9%), 108.82 in the year ended Mar 31, 2023 (-21.8%) and 139.07 in the year ended Mar 31, 2022 (+8.7%).
- Quarterly Times Interest Earned has run from a low of 58.88 in the quarter ended Sep 30, 2023 to a high of 156.83 in the quarter ended Sep 30, 2021 over five years.
- On a year-over-year basis, Times Interest Earned increased in seven of the last eight quarters, with growth averaging 15.6%.
- The strongest year-over-year quarter for Times Interest Earned in the past five years was the quarter ended Dec 31, 2024, with growth of 47.2%; the weakest was the quarter ended Sep 30, 2023, with a decline of 52.3%.
- According to Business Quant data, Times Interest Earned for the three prior quarters was 87.92 (quarter ended Mar 31, 2026), 85.18 (quarter ended Dec 31, 2025) and 88.24 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | 82.46 |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | 67.23 |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | 5.73 |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | - |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | - |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | 21.76 |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 3.48 |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | - |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 3.09 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.46 |
| Mar 31, 2026 | 1.00 |
| Dec 31, 2025 | 83.55 |
| Sep 30, 2025 | 1.00 |
| 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 | 70.54 |
| Dec 31, 2023 | 0.73 |
| Sep 30, 2023 | 58.82 |
| Jun 30, 2023 | 87.36 |
| Mar 31, 2023 | 1.17 |
| Dec 31, 2022 | 1.25 |
| Sep 30, 2022 | 122.38 |
| Jun 30, 2022 | 126.86 |
| Mar 31, 2022 | 153.33 |
| Dec 31, 2021 | 1.88 |
| Sep 30, 2021 | 156.83 |
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();