Credicorp Ltd (BAP) Wages, Salaries and Other (2009 - 2026)
Credicorp's Wages, Salaries and Other came in at -$1.07 billion for the quarter ended Jun 30, 2026, compared with -$951.71 million a year earlier.
Credicorp Ltd (BAP) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Credicorp reported Wages, Salaries and Other of -$4.1 billion; for the year ended Dec 31, 2025, it came in at -$5.44 billion.
- Going back by year, Wages, Salaries and Other was -$4.68 billion in the year ended Dec 31, 2024, -$4.27 billion in the year ended Dec 31, 2023, -$3.9 billion in the year ended Dec 31, 2022 and -$3.67 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Wages, Salaries and Other since the quarter ended Dec 31, 2019.
- Business Quant data shows BAP's Wages, Salaries and Other at -$1.05 billion (quarter ended Mar 31, 2026), -$1.02 billion (quarter ended Dec 31, 2025) and -$958.83 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.63 Mn |
| Mar 31, 2026 | -24.83 Mn |
| Dec 31, 2025 | -29.38 Mn |
| Sep 30, 2025 | -23.95 Mn |
| Jun 30, 2025 | -24.88 Mn |
| Mar 31, 2025 | -23.43 Mn |
| Dec 31, 2024 | -29.37 Mn |
| Sep 30, 2024 | -22.38 Mn |
| Jun 30, 2024 | -22.74 Mn |
| Mar 31, 2024 | -22.96 Mn |
| Dec 31, 2023 | -24.50 Mn |
| Sep 30, 2023 | -21.93 Mn |
| Jun 30, 2023 | -774.89 Mn |
| Mar 31, 2023 | -750.01 Mn |
| Dec 31, 2022 | -768.58 Mn |
| Sep 30, 2022 | -536.53 Mn |
| Jun 30, 2022 | -487.70 Mn |
| Mar 31, 2022 | -694.34 Mn |
| Dec 31, 2021 | -1.01 Bn |
| Sep 30, 2021 | -915.56 Mn |
Credicorp Ltd Wages, Salaries and Other 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=wages-salaries-and-other&ticker=BAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=BAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();