Bank Of America (BAC) Long-Term Debt (2009 - 2026)
Bank Of America (BAC) recorded Long-Term Debt of $318.69 billion in Q3 2026, up 2.3% from $311.48 billion a year earlier but down 6.2% from the prior quarter.
Bank Of America (BAC) Long-Term Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank Of America reported Long-Term Debt of $317.82 billion, up 12.2% from FY2024.
- Annual Long-Term Debt has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt came in at $283.28 billion in FY2024 (-6.3%), $302.2 billion in FY2023 (+9.5%), $275.98 billion in FY2022 (-1.5%) and $280.12 billion in FY2021 (+6.5%).
- Quarterly Long-Term Debt has ranged from $269.12 billion in Q3 2022 to $339.86 billion in Q2 2026 over the past five years.
- On a year-over-year basis, Long-Term Debt has increased for seven consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt in the last five years was growth of 12.2% in Q4 2025, against a decline of 6.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $339.86 billion (Q2 2026), $325.96 billion (Q1 2026) and $317.82 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 460.16 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 3,598.37 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 318.69 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 298.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 182.85 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | 58.54 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 318.69 Bn |
| Jun 30, 2026 | 339.86 Bn |
| Mar 31, 2026 | 325.96 Bn |
| Dec 31, 2025 | 317.82 Bn |
| Sep 30, 2025 | 311.48 Bn |
| Jun 30, 2025 | 313.42 Bn |
| Mar 31, 2025 | 304.15 Bn |
| Dec 31, 2024 | 283.28 Bn |
| Sep 30, 2024 | 296.93 Bn |
| Jun 30, 2024 | 290.47 Bn |
| Mar 31, 2024 | 296.35 Bn |
| Dec 31, 2023 | 302.20 Bn |
| Sep 30, 2023 | 290.36 Bn |
| Jun 30, 2023 | 286.07 Bn |
| Mar 31, 2023 | 283.87 Bn |
| Dec 31, 2022 | 275.98 Bn |
| Sep 30, 2022 | 269.12 Bn |
| Jun 30, 2022 | 275.70 Bn |
| Mar 31, 2022 | 278.71 Bn |
| Dec 31, 2021 | 280.12 Bn |
Bank Of America Long-Term Debt 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=long-term-debt&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "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=long-term-debt&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();