Credicorp (BAP) Professional Fees (2018 - 2019)
Credicorp's Professional Fees came in at $109.52 million for the year ended Dec 31, 2024, up 20.7% from $90.75 million a year earlier.
Powered by 
Analysis
Credicorp (BAP) Professional Fees (2018 - 2019) Analysis & Trends
Going back to the year ended Dec 31, 2017, Credicorp's Professional Fees data covers 8 years.
- Professional Fees has increased in each of the last four years, with a five-year compound annual growth rate of 7.6% (years ended Dec 2019 to Dec 2024).
- The figure for the year ended Dec 31, 2024 represents the highest annual Professional Fees in data going back to the year ended Dec 31, 2017.
- Per Business Quant, earlier years put Professional Fees at $90.75 million in the year ended Dec 31, 2023 (+3.7%), $87.48 million in the year ended Dec 31, 2022 (+7.7%), $81.22 million in the year ended Dec 31, 2021 (+28.6%) and $63.14 million in the year ended Dec 31, 2020 (-17.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 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, 2019 | 134.51 Mn |
| Dec 31, 2018 | 147.80 Mn |
| Mar 31, 2018 | 140.18 Mn |
API Access
Credicorp Professional Fees 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=professional-fees&ticker=BAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=BAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();