Credicorp (BAP) Enterprise Value (2009 - 2026)
Credicorp's Enterprise Value came in at $37.45 billion for the quarter ended Jun 30, 2026, up 72.5% from $21.71 billion a year earlier and up 14.7% from the prior quarter.
Credicorp (BAP) Enterprise Value (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Credicorp's Enterprise Value was $13.21 billion, up 297.6% from the prior year.
- Enterprise Value carries a five-year compound annual growth rate of 21.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Enterprise Value was $3.32 billion in the year ended Dec 31, 2024 (-30.9%), $4.81 billion in the year ended Dec 31, 2023 (+36.2%), $3.53 billion in the year ended Dec 31, 2022 (+164.1%) and $1.34 billion in the year ended Dec 31, 2021 (-73.2%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Enterprise Value in data going back to the quarter ended Mar 31, 2009.
- Year-over-year, Enterprise Value has increased for six consecutive quarters, with growth averaging 73.3% over the last seven quarters.
- The fastest year-over-year change in Enterprise Value over five years came in the quarter ended Dec 31, 2025 (growth of 297.6%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 73.2%).
- Business Quant data shows BAP's Enterprise Value at $32.64 billion (quarter ended Mar 31, 2026), $13.21 billion (quarter ended Dec 31, 2025) and $25.83 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 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 | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 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
| Date | Value |
|---|---|
| Sep 30, 2026 | -4.00 Bn |
| Jun 30, 2026 | -11.12 Bn |
| Mar 31, 2026 | -18.17 Bn |
| Dec 31, 2025 | 4.44 Bn |
| Sep 30, 2025 | -17.27 Bn |
| Jun 30, 2025 | -19.76 Bn |
| Mar 31, 2025 | -28.58 Bn |
| Dec 31, 2024 | 3.83 Bn |
| Sep 30, 2024 | -26.54 Bn |
| Jun 30, 2024 | -19.03 Bn |
| Mar 31, 2024 | -22.58 Bn |
| Dec 31, 2023 | 4.81 Bn |
| Sep 30, 2023 | -20.24 Bn |
| Jun 30, 2023 | -18.64 Bn |
| Mar 31, 2023 | -22.04 Bn |
| Dec 31, 2022 | 3.53 Bn |
| Sep 30, 2022 | -24.09 Bn |
| Jun 30, 2022 | -18.99 Bn |
| Mar 31, 2022 | -19.56 Bn |
| Dec 31, 2021 | 1.34 Bn |
Credicorp Enterprise Value 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=enterprise-value&ticker=BAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();