Bank Of America Corp /De/ (BAC) Trading Liabilities (2009 - 2026)
Analysis
Bank Of America Corp /De/ (BAC) Trading Liabilities (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.16 Bn |
| Mar 31, 2026 | 129.83 Bn |
| Dec 31, 2025 | 106.00 Bn |
| Sep 30, 2025 | 117.32 Bn |
| Jun 30, 2025 | 107.43 Bn |
| Mar 31, 2025 | 105.47 Bn |
| Dec 31, 2024 | 92.54 Bn |
| Sep 30, 2024 | 98.32 Bn |
| Jun 30, 2024 | 100.35 Bn |
| Mar 31, 2024 | 114.33 Bn |
| Dec 31, 2023 | 95.53 Bn |
| Sep 30, 2023 | 102.82 Bn |
| Jun 30, 2023 | 97.82 Bn |
| Mar 31, 2023 | 92.45 Bn |
| Dec 31, 2022 | 80.40 Bn |
| Sep 30, 2022 | 84.77 Bn |
| Jun 30, 2022 | 97.30 Bn |
| Mar 31, 2022 | 117.12 Bn |
| Dec 31, 2021 | 100.69 Bn |
| Sep 30, 2021 | 112.22 Bn |
API Access
Bank Of America Corp /De/ Trading Liabilities 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=trading-liabilities&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "trading-liabilities", "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=trading-liabilities&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();