Intercorp Financial Services (IFS) Times Interest Earned (2019 - 2025)
Intercorp Financial Services' Times Interest Earned came in at 9.64 for the quarter ended Dec 31, 2025.
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Analysis
Intercorp Financial Services (IFS) Times Interest Earned (2019 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Intercorp Financial Services' Times Interest Earned was 1.34.
- Going back by year, Times Interest Earned was -0.01 in the year ended Dec 31, 2024, -0.22 in the year ended Dec 31, 2023, -359.52 in the year ended Dec 31, 2022 and 11.26 in the year ended Dec 31, 2021 (+145.9%).
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Times Interest Earned in data going back to the quarter ended Sep 30, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.10 |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -2.12 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.65 |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.56 |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.43 |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 0.56 |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.47 |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.73 |
| 10 | Intercorp Financial Services | 6.03 Bn | 6.11 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.64 |
| Dec 31, 2023 | -0.97 |
| Sep 30, 2023 | -0.36 |
| Jun 30, 2023 | 0.22 |
| Mar 31, 2023 | 0.29 |
| Sep 30, 2022 | 4.22 |
| Dec 31, 2021 | 6.07 |
| Sep 30, 2021 | 8.56 |
| Dec 31, 2020 | -0.65 |
| Sep 30, 2020 | 2.56 |
| Sep 30, 2019 | 2.93 |
API Access
Intercorp Financial Services 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=IFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "IFS", "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=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();