Bank Of America Corp /De/ (BAC) Provision for Credit Losses (2009 - 2026)
Analysis
Bank Of America Corp /De/ (BAC) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.38 Bn |
| Mar 31, 2026 | 1.35 Bn |
| Dec 31, 2025 | 1.20 Bn |
| Sep 30, 2025 | 1.33 Bn |
| Jun 30, 2025 | 1.56 Bn |
| Mar 31, 2025 | 1.47 Bn |
| Dec 31, 2024 | 1.46 Bn |
| Sep 30, 2024 | 1.55 Bn |
| Jun 30, 2024 | 1.56 Bn |
| Mar 31, 2024 | 1.37 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 1.31 Bn |
| Mar 31, 2023 | 900.00 Mn |
| Dec 31, 2022 | 1.07 Bn |
| Sep 30, 2022 | 845.00 Mn |
| Jun 30, 2022 | 441.00 Mn |
| Mar 31, 2022 | 108.00 Mn |
| Dec 31, 2021 | -407.00 Mn |
| Sep 30, 2021 | -475.00 Mn |
API Access
Bank Of America Corp /De/ Provision for Credit 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-credit-losses&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "BAC", "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-credit-losses&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();