Bank Of America (BAC) Total Non-Current Liabilities (2009 - 2026)
Bank Of America's Total Non-Current Liabilities was $3.16 trillion in Q2 2026, up 1.8% from $3.1 trillion a year earlier and up 0.1% from the prior quarter.
Bank Of America (BAC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Bank Of America came in at $3.07 trillion, up 4.7% from FY2024.
- Total Non-Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $2.93 trillion in FY2024 (+2.9%), $2.85 trillion in FY2023 (+4.1%), $2.73 trillion in FY2022 (-4.5%) and $2.86 trillion in FY2021 (+14.4%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 12 straight quarters, with growth averaging 3.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 14.4%); the worst was Q4 2022 (a decline of 4.5%).
- Per Business Quant data, BAC's Total Non-Current Liabilities in the three quarters before Q2 2026 was $3.15 trillion (Q1 2026), $3.07 trillion (Q4 2025) and $3.06 trillion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 3,155.50 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | 2,989.35 Bn |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 1,595.35 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | 2,410.98 Bn |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 1,392.72 Bn |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 230.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,155.50 Bn |
| Mar 31, 2026 | 3,151.58 Bn |
| Dec 31, 2025 | 3,066.40 Bn |
| Sep 30, 2025 | 3,059.36 Bn |
| Jun 30, 2025 | 3,101.08 Bn |
| Mar 31, 2025 | 3,019.69 Bn |
| Dec 31, 2024 | 2,927.94 Bn |
| Sep 30, 2024 | 2,984.65 Bn |
| Jun 30, 2024 | 2,923.60 Bn |
| Mar 31, 2024 | 2,939.85 Bn |
| Dec 31, 2023 | 2,846.51 Bn |
| Sep 30, 2023 | 2,825.13 Bn |
| Jun 30, 2023 | 2,796.48 Bn |
| Mar 31, 2023 | 2,874.26 Bn |
| Dec 31, 2022 | 2,733.36 Bn |
| Sep 30, 2022 | 2,753.23 Bn |
| Jun 30, 2022 | 2,804.06 Bn |
| Mar 31, 2022 | 2,927.31 Bn |
| Dec 31, 2021 | 2,861.73 Bn |
| Sep 30, 2021 | 2,774.88 Bn |
Bank Of America Total Non-Current 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-non-current-liabilities&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();