Bank Of America (BAC) Trading Liabilities (2009 - 2026)
Bank Of America's Trading Liabilities was $109.81 billion in Q3 2026, down 6.4% from $117.32 billion a year earlier and down 10.8% from the prior quarter.
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Analysis
Bank Of America (BAC) Trading Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Trading Liabilities at Bank Of America came in at $106 billion, up 14.5% from FY2024.
- Trading Liabilities shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In earlier years, Trading Liabilities was $92.54 billion in FY2024 (-3.1%), $95.53 billion in FY2023 (+18.8%), $80.4 billion in FY2022 (-20.2%) and $100.69 billion in FY2021 (+41.2%).
- Quarterly Trading Liabilities has moved between $80.4 billion (Q4 2022) and $129.83 billion (Q1 2026) over five years.
- Compared with a year earlier, Trading Liabilities was higher in five of the last eight quarters, with growth averaging 7.7%.
- The best year-over-year quarter for Trading Liabilities over five years was Q4 2021 (growth of 41.2%); the worst was Q3 2022 (a decline of 24.5%).
- Per Business Quant data, BAC's Trading Liabilities in the three quarters before Q3 2026 was $123.16 billion (Q2 2026), $129.83 billion (Q1 2026) and $106 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Trading Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 297.91 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 10,587.31 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 109.81 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 78.41 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 262.97 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 330.24 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 239.51 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 56.13 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.81 Bn |
| 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 |
API Access
Bank Of America 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_KEYimport 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();