Bank Of America (BAC) Cash & Equivalents (2009 - 2026)
Bank Of America (BAC) posted Cash & Equivalents of $249.64 billion for Q3 2026, up 1.3% from $246.51 billion a year earlier and up 8.7% from the prior quarter.
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Analysis
Bank Of America (BAC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank Of America's Cash & Equivalents came in at $231.85 billion, down 20.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- In prior years, Bank Of America's Cash & Equivalents was $290.11 billion in FY2024 (-12.9%), $333.07 billion in FY2023 (+44.7%), $230.2 billion in FY2022 (-33.9%) and $348.22 billion in FY2021 (-8.5%).
- The Q3 2026 figure stands as the highest quarterly Cash & Equivalents since Q2 2025.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last eight quarters, with an average decline of 12.9%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2023, with growth of 88.7%; the weakest was Q4 2022, with a decline of 33.9%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $229.75 billion (Q2 2026), $242.48 billion (Q1 2026) and $231.85 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.44 Bn | 895.44 Bn | - | - |
| 2 | Banco Santander Chile | 405.91 Bn | -7,111.19 Bn | - | 2.20 Bn |
| 3 | Bank Of America | 344.61 Bn | -2,031.50 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 302.63 Bn | -1,800.57 Bn | - | 222.46 Bn |
| 5 | Morgan Stanley | 285.60 Bn | -258.43 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 285.44 Bn | -544.56 Bn | - | 45.78 Bn |
| 7 | Wells Fargo & Company | 254.50 Bn | 256.61 Bn | - | - |
| 8 | Goldman Sachs | 250.58 Bn | -3,492.87 Bn | - | 176.77 Bn |
| 9 | Mitsubishi Ufj Financial | 250.17 Bn | -82.07 Bn | 10.89 Bn | - |
| 10 | American Express | 217.91 Bn | 17.39 Bn | - | 43.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 249.64 Bn |
| Jun 30, 2026 | 229.75 Bn |
| Mar 31, 2026 | 242.48 Bn |
| Dec 31, 2025 | 231.85 Bn |
| Sep 30, 2025 | 246.51 Bn |
| Jun 30, 2025 | 266.01 Bn |
| Mar 31, 2025 | 273.58 Bn |
| Dec 31, 2024 | 290.11 Bn |
| Sep 30, 2024 | 295.59 Bn |
| Jun 30, 2024 | 320.63 Bn |
| Mar 31, 2024 | 313.40 Bn |
| Dec 31, 2023 | 333.07 Bn |
| Sep 30, 2023 | 351.73 Bn |
| Jun 30, 2023 | 373.55 Bn |
| Mar 31, 2023 | 376.22 Bn |
| Dec 31, 2022 | 230.20 Bn |
| Sep 30, 2022 | 204.98 Bn |
| Jun 30, 2022 | 198.00 Bn |
| Mar 31, 2022 | 273.93 Bn |
| Dec 31, 2021 | 348.22 Bn |
API Access
Bank Of America Cash & Equivalents 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=cash-and-equivalents&ticker=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();