Credicorp (BAP) Exchange Rate Effect (2019 - 2020)
Credicorp (BAP) recorded Exchange Rate Effect of -$1.07 billion in the year ended Dec 31, 2025, compared with $110.26 million a year earlier.
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Analysis
Credicorp (BAP) Exchange Rate Effect (2019 - 2020) Analysis & Trends
Starting with the year ended Dec 31, 2013, Credicorp's Exchange Rate Effect history includes 13 years.
- The figure for the year ended Dec 31, 2025 is the lowest annual Exchange Rate Effect in data going back to the year ended Dec 31, 2013.
- Per Business Quant data, BAP's Exchange Rate Effect was $110.26 million in the year ended Dec 31, 2024, -$205.01 million in the year ended Dec 31, 2023, -$347.83 million in the year ended Dec 31, 2022 and $721.34 million in the year ended Dec 31, 2021 (+23.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 940.00 Mn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 309.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 723.66 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 655.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 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 | 697,368.00 |
| Mar 31, 2019 | -257,967.00 |
API Access
Credicorp Exchange Rate Effect 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=exchange-rate-effect&ticker=BAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=BAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();