Bank Of America (BAC) Loans - Gross (2009 - 2026)
Bank Of America (BAC) posted Loans - Gross of $1.22 trillion for Q2 2026, up 6.2% from $1.15 trillion a year earlier and up 1.0% from the prior quarter.
Bank Of America (BAC) Loans - Gross (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank Of America's Loans - Gross came in at $1.19 trillion, up 8.2% from FY2024.
- Annual Loans - Gross has increased for five consecutive years, with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior years, Bank Of America's Loans - Gross was $1.1 trillion in FY2024 (+4.0%), $1.05 trillion in FY2023 (+0.8%), $1.05 trillion in FY2022 (+6.8%) and $979.12 billion in FY2021 (+5.5%).
- The Q2 2026 figure stands as the highest quarterly Loans - Gross in data going back to Q4 2009.
- On a year-over-year basis, Loans - Gross has increased in each of the last 19 quarters, with growth averaging 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Loans - Gross in the past five years was Q2 2022, with growth of 12.2%; the weakest was Q3 2021, with a decline of 2.9%.
- According to Business Quant data, Loans - Gross for the three prior quarters was $1.21 trillion (Q1 2026), $1.19 trillion (Q4 2025) and $1.17 trillion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Gross (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 1,542.46 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 1,217.62 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 800.51 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 1,031.12 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,217.62 Bn |
| Mar 31, 2026 | 1,205.04 Bn |
| Dec 31, 2025 | 1,185.70 Bn |
| Sep 30, 2025 | 1,165.90 Bn |
| Jun 30, 2025 | 1,147.06 Bn |
| Mar 31, 2025 | 1,110.63 Bn |
| Dec 31, 2024 | 1,095.84 Bn |
| Sep 30, 2024 | 1,075.80 Bn |
| Jun 30, 2024 | 1,056.79 Bn |
| Mar 31, 2024 | 1,049.16 Bn |
| Dec 31, 2023 | 1,053.73 Bn |
| Sep 30, 2023 | 1,049.15 Bn |
| Jun 30, 2023 | 1,051.22 Bn |
| Mar 31, 2023 | 1,046.41 Bn |
| Dec 31, 2022 | 1,045.75 Bn |
| Sep 30, 2022 | 1,032.47 Bn |
| Jun 30, 2022 | 1,030.77 Bn |
| Mar 31, 2022 | 993.15 Bn |
| Dec 31, 2021 | 979.12 Bn |
| Sep 30, 2021 | 927.74 Bn |
Bank Of America Loans - Gross 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-gross&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "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-gross&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();