Intercorp Financial Services (IFS) Non-Interest Income - Total (2018 - 2026)
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Analysis
Intercorp Financial Services (IFS) Non-Interest Income - Total (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Interest Income - Total (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 31.84 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 15.56 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 10.90 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 18.57 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 7.02 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 16.38 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 4.40 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 10.31 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 5.44 Bn |
| 10 | Intercorp Financial Services | 5.76 Bn | -80.88 Bn | - | 351.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 351.87 Mn |
| Mar 31, 2026 | 351.77 Mn |
| Dec 31, 2025 | 415.58 Mn |
| Sep 30, 2025 | 275.85 Mn |
| Jun 30, 2025 | 320.29 Mn |
| Mar 31, 2025 | 310.03 Mn |
| Dec 31, 2024 | 299.92 Mn |
| Sep 30, 2024 | 295.10 Mn |
| Jun 30, 2024 | 279.70 Mn |
| Mar 31, 2024 | 268.26 Mn |
| Dec 31, 2023 | 285.34 Mn |
| Sep 30, 2023 | 296.33 Mn |
| Jun 30, 2023 | 298.90 Mn |
| Mar 31, 2023 | 301.32 Mn |
| Dec 31, 2022 | 308.92 Mn |
| Sep 30, 2022 | 314.58 Mn |
| Jun 30, 2022 | 293.60 Mn |
| Mar 31, 2022 | 204.20 Mn |
| Dec 31, 2021 | 266.91 Mn |
| Sep 30, 2021 | 222.55 Mn |
API Access
Intercorp Financial Services Non-Interest Income - Total 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=non-interest-income-total&ticker=IFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-interest-income-total", "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=non-interest-income-total&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();