Credicorp (BAP) Provision for Losses (2014 - 2020)
Credicorp (BAP) recorded Provision for Losses of $2.87 billion in the year ended Dec 31, 2025, down 27.1% from $3.94 billion a year earlier.
Analysis
Credicorp (BAP) Provision for Losses (2014 - 2020) Analysis & Trends
Starting with the year ended Dec 31, 2009, Credicorp's Provision for Losses history includes 17 years.
- Annual Provision for Losses has a five-year compound annual growth rate of -13.9% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the lowest annual Provision for Losses since the year ended Dec 31, 2022.
- Per Business Quant data, BAP's Provision for Losses was $3.94 billion in the year ended Dec 31, 2024 (-0.3%), $3.96 billion in the year ended Dec 31, 2023 (+83.3%), $2.16 billion in the year ended Dec 31, 2022 (+38.5%) and $1.56 billion in the year ended Dec 31, 2021 (-74.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Credicorp | 34.72 Bn | -127.92 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 1.39 Bn |
| Mar 31, 2019 | 453.29 Mn |
| Jun 30, 2017 | -4.32 Bn |
| Mar 31, 2017 | -4.21 Bn |
| Jun 30, 2016 | -3.99 Bn |
| Jun 30, 2015 | -3.62 Bn |
| Mar 31, 2015 | -3.47 Bn |
| Jun 30, 2014 | -3.07 Bn |
API Access
Credicorp Provision for Losses 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=provision-for-losses&ticker=BAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "BAP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=BAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();