Infosys (INFY) Times Interest Earned (2015 - 2026)
Infosys (INFY) posted Times Interest Earned of 85.4 for Q2 2026, down 2.86% on a QoQ basis from 87.92 in Q1 2026, and up 1.87% year-over-year from 83.84 in Q2 2025.
Infosys (INFY) Times Interest Earned (2015 - 2026) Analysis & Trends
Infosys has reported Times Interest Earned for 12 years, with the latest figure at 85.4 in Q2 2026.
- On a quarterly basis, Times Interest Earned rose 1.87% year-over-year to 85.4 in Q2 2026; TTM through Jun 2026 was 86.71, a 3.55% increase from a year earlier, with the FY2026 full-year figure at 93.09, up 12.49% from the prior year.
- Times Interest Earned was 85.4 for Q2 2026 at Infosys, down from 87.92 in the prior quarter.
- The five-year high for Times Interest Earned was 153.33 in Q1 2022, with the low at 58.88 in Q3 2023.
- Average Times Interest Earned over 5 years is 90.9, with a median of 86.54 recorded in 2023.
- The sharpest annual moves came in 2023 and 2024: Times Interest Earned sank 52.3% in 2023, then surged 47.2% in 2024.
- Over 5 years, Times Interest Earned stood at 100.39 in 2022, then plunged by 40.47% to 59.76 in 2023, then surged by 47.2% to 87.96 in 2024, then dropped by 3.16% to 85.18 in 2025, then advanced by 0.26% to 85.4 in 2026.
- The last three Times Interest Earned figures came in at 85.4 (Q2 2026), 87.92 (Q1 2026), and 85.18 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Investview | 47.95 Bn | 47.95 Bn | -199,485.00 | - |
| 2 | Infosys | 43.60 Bn | 43.65 Bn | 1.60 Bn | 85.40 |
| 3 | Cognizant Technology Solutions | 26.73 Bn | 25.68 Bn | 1.83 Bn | 67.23 |
| 4 | Td Synnex | 23.02 Bn | 21.93 Bn | 1.34 Bn | - |
| 5 | Cdw | 18.31 Bn | 17.95 Bn | 1.32 Bn | - |
| 6 | Cgi | 13.55 Bn | 12.97 Bn | - | 21.76 |
| 7 | Arrow Electronics | 11.54 Bn | 11.37 Bn | 1.13 Bn | - |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn | 3.48 |
| 9 | Ingram Micro Holding | 6.43 Bn | 5.62 Bn | 958.68 Mn | 3.09 |
| 10 | EPAM Systems | 5.68 Bn | 4.89 Bn | 429.57 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.40 |
| Mar 31, 2026 | 87.92 |
| Dec 31, 2025 | 85.18 |
| Sep 30, 2025 | 88.24 |
| Jun 30, 2025 | 83.84 |
| Mar 31, 2025 | 84.07 |
| Dec 31, 2024 | 87.96 |
| Sep 30, 2024 | 79.43 |
| Jun 30, 2024 | 78.93 |
| Mar 31, 2024 | 69.28 |
| Dec 31, 2023 | 59.76 |
| Sep 30, 2023 | 58.88 |
| Jun 30, 2023 | 87.68 |
| Mar 31, 2023 | 95.70 |
| Dec 31, 2022 | 100.39 |
| Sep 30, 2022 | 123.44 |
| Jun 30, 2022 | 126.86 |
| Mar 31, 2022 | 153.33 |
| Dec 31, 2021 | 142.57 |
| Sep 30, 2021 | 156.83 |
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_KEY
import 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();