Credicorp Ltd (BAP) Operating Expenses (2009 - 2026)
Credicorp's Operating Expenses came in at -$2.21 billion for the quarter ended Jun 30, 2026, compared with -$1.92 billion a year earlier.
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Analysis
Credicorp Ltd (BAP) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Credicorp reported Operating Expenses of -$8.51 billion; for the year ended Dec 31, 2025, it was $10.8 billion, up 5.9% from the prior year.
- Operating Expenses has increased in each of the last six years, with a five-year compound annual growth rate of 8.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Expenses was $10.2 billion in the year ended Dec 31, 2024 (+10.1%), $9.26 billion in the year ended Dec 31, 2023 (+7.5%), $8.62 billion in the year ended Dec 31, 2022 (+11.4%) and $7.74 billion in the year ended Dec 31, 2021 (+8.6%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Operating Expenses since the quarter ended Dec 31, 2018.
- Business Quant data shows BAP's Operating Expenses at -$2.09 billion (quarter ended Mar 31, 2026), -$2.21 billion (quarter ended Dec 31, 2025) and -$2 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.99 Bn |
| Mar 31, 2026 | -2.84 Bn |
| Dec 31, 2025 | -3.08 Bn |
| Sep 30, 2025 | -2.74 Bn |
| Jun 30, 2025 | -2.63 Bn |
| Mar 31, 2025 | -2.53 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | -2.45 Bn |
| Jun 30, 2024 | -2.40 Bn |
| Mar 31, 2024 | -2.21 Bn |
| Dec 31, 2023 | 9,334.00 |
| Sep 30, 2023 | -1.74 Bn |
| Jun 30, 2023 | -1.63 Bn |
| Mar 31, 2023 | -1.57 Bn |
| Dec 31, 2022 | 862.10 Mn |
| Sep 30, 2022 | -1.26 Bn |
| Jun 30, 2022 | -1.22 Bn |
| Mar 31, 2022 | -1.40 Bn |
| Dec 31, 2021 | 7.74 Bn |
| Sep 30, 2021 | -1.98 Bn |
API Access
Credicorp Ltd Operating 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=operating-expenses&ticker=BAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();