Bank Of America Corp /De/ (BACRP) Provision for Losses (2009 - 2026)
Analysis
Bank Of America Corp /De/ (BACRP) Provision for Losses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.40 Bn |
| Mar 31, 2026 | 1.34 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 1.30 Bn |
| Jun 30, 2025 | 1.59 Bn |
| Mar 31, 2025 | 1.48 Bn |
| Dec 31, 2024 | 1.45 Bn |
| Sep 30, 2024 | 1.54 Bn |
| Jun 30, 2024 | 1.51 Bn |
| Mar 31, 2024 | 1.32 Bn |
| Dec 31, 2023 | 1.11 Bn |
| Sep 30, 2023 | 1.23 Bn |
| Jun 30, 2023 | 1.13 Bn |
| Mar 31, 2023 | 931.00 Mn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 898.00 Mn |
| Jun 30, 2022 | 523.00 Mn |
| Mar 31, 2022 | 30.00 Mn |
| Dec 31, 2021 | -495.00 Mn |
| Sep 30, 2021 | -624.00 Mn |
API Access
Bank Of America Corp /De/ Provision for Losses 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=provision-for-losses&ticker=BACRP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "BACRP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=BACRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();