Bank Of America (BAC) Long-Term Debt Repayments (2009 - 2026)
Bank Of America's Long-Term Debt Repayments came in at $27.22 billion for Q2 2026, up 38.7% from $19.63 billion a year earlier and up 9.9% from the prior quarter.
Bank Of America (BAC) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bank Of America reported Long-Term Debt Repayments of $92.07 billion, up 31.1% 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 Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q2 2012.
- Year-over-year, Long-Term Debt Repayments has increased for five consecutive quarters, with growth averaging 29.3% 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 $24.78 billion (Q1 2026), $18.14 billion (Q4 2025) and $21.93 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 12.00 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 3.95 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 9.55 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();