Bank Of America (BAC) Long-Term Debt Repayments (2009 - 2026)
Bank Of America's Long-Term Debt Repayments came in at $31.73 billion for Q3 2026, up 44.7% from $21.93 billion a year earlier and up 16.6% from the prior quarter.
Bank Of America (BAC) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Bank Of America reported Long-Term Debt Repayments of $101.87 billion, up 34.8% year-over-year; for FY2025, it was $76.03 billion, up 8.0% from FY2024.
- Long-Term Debt Repayments has increased in each of the last three years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $70.41 billion in FY2024 (+58.0%), $44.57 billion in FY2023 (+30.9%), $34.06 billion in FY2022 (-27.3%) and $46.83 billion in FY2021 (-2.3%).
- The Q3 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q2 2012.
- Year-over-year, Long-Term Debt Repayments has increased for six consecutive quarters, with growth averaging 26.4% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2024 (growth of 78.8%), and the weakest in Q2 2022 (a decline of 46.8%).
- Business Quant data shows BAC's Long-Term Debt Repayments at $27.22 billion (Q2 2026), $24.78 billion (Q1 2026) and $18.14 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 16.57 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 3.97 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 2.35 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.73 Bn |
| Jun 30, 2026 | 27.22 Bn |
| Mar 31, 2026 | 24.78 Bn |
| Dec 31, 2025 | 18.14 Bn |
| Sep 30, 2025 | 21.93 Bn |
| Jun 30, 2025 | 19.63 Bn |
| Mar 31, 2025 | 16.33 Bn |
| Dec 31, 2024 | 17.70 Bn |
| Sep 30, 2024 | 16.57 Bn |
| Jun 30, 2024 | 19.54 Bn |
| Mar 31, 2024 | 16.61 Bn |
| Dec 31, 2023 | 12.40 Bn |
| Sep 30, 2023 | 9.90 Bn |
| Jun 30, 2023 | 10.93 Bn |
| Mar 31, 2023 | 11.34 Bn |
| Dec 31, 2022 | 9.67 Bn |
| Sep 30, 2022 | 8.04 Bn |
| Jun 30, 2022 | 8.11 Bn |
| Mar 31, 2022 | 8.24 Bn |
| Dec 31, 2021 | 8.04 Bn |
Bank Of America Long-Term Debt Repayments 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-repayments&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();