Bank Of America (BAC) Assets (2009 - 2026)
Bank Of America (BAC) reported Assets of $3.5 trillion for Q2 2026, up 1.7% from $3.44 trillion a year earlier and up 0.1% from the prior quarter.
Analysis
Bank Of America (BAC) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank Of America posted Assets of $3.41 trillion, up 4.6% from FY2024.
- Assets has increased for three consecutive years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Assets came in at $3.26 trillion in FY2024 (+2.6%), $3.18 trillion in FY2023 (+4.2%), $3.05 trillion in FY2022 (-3.7%) and $3.17 trillion in FY2021 (+12.4%).
- The Q2 2026 figure ranks as the highest quarterly Assets in data going back to Q4 2009.
- Year over year, Assets has now increased in each of the last 13 quarters, with growth averaging 3.6% over the last eight quarters.
- The high point for year-over-year Assets in five years was Q3 2021 (growth of 12.7%); the low point was Q4 2022 (a decline of 3.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.5 trillion (Q1 2026), $3.41 trillion (Q4 2025) and $3.4 trillion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 5,015.07 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 68,147.28 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,499.19 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 438.87 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1,675.06 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,792.15 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,722.33 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 2,127.71 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2,282.20 Bn |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - | 2,271.80 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,499.19 Bn |
| Mar 31, 2026 | 3,496.19 Bn |
| Dec 31, 2025 | 3,411.74 Bn |
| Sep 30, 2025 | 3,403.72 Bn |
| Jun 30, 2025 | 3,440.80 Bn |
| Mar 31, 2025 | 3,349.04 Bn |
| Dec 31, 2024 | 3,261.30 Bn |
| Sep 30, 2024 | 3,324.29 Bn |
| Jun 30, 2024 | 3,258.00 Bn |
| Mar 31, 2024 | 3,273.80 Bn |
| Dec 31, 2023 | 3,180.15 Bn |
| Sep 30, 2023 | 3,153.09 Bn |
| Jun 30, 2023 | 3,123.20 Bn |
| Mar 31, 2023 | 3,194.66 Bn |
| Dec 31, 2022 | 3,051.38 Bn |
| Sep 30, 2022 | 3,072.95 Bn |
| Jun 30, 2022 | 3,111.61 Bn |
| Mar 31, 2022 | 3,238.22 Bn |
| Dec 31, 2021 | 3,169.50 Bn |
| Sep 30, 2021 | 3,085.45 Bn |
API Access
Bank Of America Assets 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=assets&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();