Intercorp Financial Services (IFS) Change in Taxes (2018 - 2025)
Intercorp Financial Services (IFS) reported Change in Taxes of $305.59 million for the quarter ended Dec 31, 2025, down 15.9% from $363.46 million a year earlier.
Intercorp Financial Services (IFS) Change in Taxes (2018 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Intercorp Financial Services posted Change in Taxes of -$305.59 million.
- By year, Change in Taxes came in at -$363.46 million in the year ended Dec 31, 2024, -$450.13 million in the year ended Dec 31, 2023, -$334.17 million in the year ended Dec 31, 2022 and -$280.41 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 ranks as the lowest quarterly Change in Taxes since the quarter ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 174.28 Mn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Intercorp Financial Services | 6.03 Bn | 6.10 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 305.59 Mn |
| Dec 31, 2024 | 363.46 Mn |
| Dec 31, 2023 | 450.13 Mn |
| Dec 31, 2022 | 334.17 Mn |
| Dec 31, 2021 | 280.41 Mn |
| Dec 31, 2020 | 379.96 Mn |
| Mar 31, 2020 | -117.60 Mn |
| Dec 31, 2019 | 425.65 Mn |
| Mar 31, 2019 | -118.60 Mn |
| Dec 31, 2018 | 363.99 Mn |
Intercorp Financial Services Change in Taxes 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=change-in-taxes&ticker=IFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();