Credicorp (BAP) Interest Expenses (2009 - 2026)
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Analysis
Credicorp (BAP) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 26.02 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 17.81 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 12.94 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 12.80 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 19.02 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 11.39 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.12 Bn |
| 10 | Credicorp | 34.72 Bn | -127.92 Bn | - | -638,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -638,000.00 |
| Jun 30, 2026 | -649,000.00 |
| Mar 31, 2026 | -972,000.00 |
| Dec 31, 2025 | -895,000.00 |
| Sep 30, 2025 | -910,000.00 |
| Jun 30, 2025 | -2.63 Bn |
| Mar 31, 2025 | -453,000.00 |
| Dec 31, 2024 | -1.78 Mn |
| Sep 30, 2024 | -1.06 Mn |
| Jun 30, 2024 | -779,000.00 |
| Mar 31, 2024 | -467,000.00 |
| Dec 31, 2023 | -1.28 Mn |
| Sep 30, 2023 | -507,000.00 |
| Jun 30, 2023 | -1.11 Bn |
| Mar 31, 2023 | -994.84 Mn |
| Dec 31, 2022 | -913.76 Mn |
| Sep 30, 2022 | -661.53 Mn |
| Jun 30, 2022 | -481.14 Mn |
| Mar 31, 2022 | -494.04 Mn |
| Dec 31, 2021 | -614.52 Mn |
API Access
Credicorp Interest Expenses 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=interest-expenses&ticker=BAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=BAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();