Bank Of America (BAC) Total Liabilities (2009 - 2026)
Bank Of America (BAC) recorded Total Liabilities of $3.13 trillion in Q3 2026, up 1.0% from $3.1 trillion a year earlier but down 2.1% from the prior quarter.
Bank Of America (BAC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank Of America reported Total Liabilities of $3.11 trillion, up 4.8% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $2.97 trillion in FY2024 (+2.7%), $2.89 trillion in FY2023 (+4.0%), $2.78 trillion in FY2022 (-4.2%) and $2.9 trillion in FY2021 (+13.9%).
- Quarterly Total Liabilities has ranged from $2.78 trillion in Q4 2022 to $3.2 trillion in Q2 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 13.9% in Q4 2021, against a decline of 4.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.2 trillion (Q2 2026), $3.2 trillion (Q1 2026) and $3.11 trillion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2,571.74 Bn |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | 274.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3,130.96 Bn |
| Jun 30, 2026 | 3,198.10 Bn |
| Mar 31, 2026 | 3,195.52 Bn |
| Dec 31, 2025 | 3,108.50 Bn |
| Sep 30, 2025 | 3,100.71 Bn |
| Jun 30, 2025 | 3,142.78 Bn |
| Mar 31, 2025 | 3,055.09 Bn |
| Dec 31, 2024 | 2,967.34 Bn |
| Sep 30, 2024 | 3,027.78 Bn |
| Jun 30, 2024 | 2,964.10 Bn |
| Mar 31, 2024 | 2,980.25 Bn |
| Dec 31, 2023 | 2,889.94 Bn |
| Sep 30, 2023 | 2,866.03 Bn |
| Jun 30, 2023 | 2,839.88 Bn |
| Mar 31, 2023 | 2,914.46 Bn |
| Dec 31, 2022 | 2,778.18 Bn |
| Sep 30, 2022 | 2,803.43 Bn |
| Jun 30, 2022 | 2,842.49 Bn |
| Mar 31, 2022 | 2,971.61 Bn |
| Dec 31, 2021 | 2,899.43 Bn |
Bank Of America Total 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=total-liabilities&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();