Bank Of America (BAC) Loans - Net (2009 - 2026)
Bank Of America's Loans - Net came in at $1.24 trillion for Q3 2026, up 7.4% from $1.15 trillion a year earlier and up 2.8% from the prior quarter.
Powered by 
Analysis
Bank Of America (BAC) Loans - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank Of America's Loans - Net was $1.17 trillion, up 8.3% from FY2024.
- Loans - Net has increased in each of the last five years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Going back by year, Loans - Net was $1.08 trillion in FY2024 (+4.1%), $1.04 trillion in FY2023 (+0.7%), $1.03 trillion in FY2022 (+6.9%) and $966.74 billion in FY2021 (+6.3%).
- The Q3 2026 figure represents the highest quarterly Loans - Net in data going back to Q4 2009.
- Year-over-year, Loans - Net has increased for 20 consecutive quarters, with growth averaging 7.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Loans - Net ran from 0.2% in Q1 2024 to 12.6% in Q2 2022.
- Business Quant data shows BAC's Loans - Net at $1.2 trillion (Q2 2026), $1.19 trillion (Q1 2026) and $1.17 trillion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 1,558.37 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1,238.26 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 1,029.86 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 297.21 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 791.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 275.65 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1,034.29 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | 227.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1,238.26 Bn |
| Jun 30, 2026 | 1,204.51 Bn |
| Mar 31, 2026 | 1,191.89 Bn |
| Dec 31, 2025 | 1,172.50 Bn |
| Sep 30, 2025 | 1,152.65 Bn |
| Jun 30, 2025 | 1,133.77 Bn |
| Mar 31, 2025 | 1,097.37 Bn |
| Dec 31, 2024 | 1,082.60 Bn |
| Sep 30, 2024 | 1,062.55 Bn |
| Jun 30, 2024 | 1,043.55 Bn |
| Mar 31, 2024 | 1,035.94 Bn |
| Dec 31, 2023 | 1,040.39 Bn |
| Sep 30, 2023 | 1,035.86 Bn |
| Jun 30, 2023 | 1,038.27 Bn |
| Mar 31, 2023 | 1,033.89 Bn |
| Dec 31, 2022 | 1,033.07 Bn |
| Sep 30, 2022 | 1,020.16 Bn |
| Jun 30, 2022 | 1,018.79 Bn |
| Mar 31, 2022 | 981.04 Bn |
| Dec 31, 2021 | 966.74 Bn |
API Access
Bank Of America Loans - Net 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=loans-net&ticker=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();