Intercorp Financial Services (IFS) EBIT (2019 - 2023)
Intercorp Financial Services' EBIT was $2.21 billion in the quarter ended Dec 31, 2025.
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Analysis
Intercorp Financial Services (IFS) EBIT (2019 - 2023) Analysis & Trends
For the year ended Dec 31, 2025, EBIT at Intercorp Financial Services came in at $1.4 billion.
- EBIT shows a five-year compound annual growth rate of -8.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, EBIT was -$11.4 million in the year ended Dec 31, 2024, -$308.16 million in the year ended Dec 31, 2023, -$188.5 billion in the year ended Dec 31, 2022 and $2.64 billion in the year ended Dec 31, 2021 (+22.8%).
- The figure for the quarter ended Dec 31, 2025 marks the highest quarterly EBIT in data going back to the quarter ended Sep 30, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 46.15 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 26.78 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.97 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 19.42 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 18.35 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 26.03 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 18.49 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.11 Bn |
| 10 | Intercorp Financial Services | 5.40 Bn | -85.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -2.53 Bn |
| Sep 30, 2023 | -429.45 Mn |
| Jun 30, 2023 | -225.74 Mn |
| Mar 31, 2023 | -214.13 Mn |
| Dec 31, 2022 | -70.30 Mn |
| Sep 30, 2022 | 302.74 Mn |
| Dec 31, 2021 | 188.72 Mn |
| Sep 30, 2021 | 411.77 Mn |
| Dec 31, 2020 | 89.84 Mn |
| Sep 30, 2020 | 93.67 Mn |
| Sep 30, 2019 | 120.89 Mn |
API Access
Intercorp Financial Services EBIT 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=ebit&ticker=IFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();