Bank Of America (BAC) Occupancy Expense (2009 - 2026)
Bank Of America (BAC) recorded Occupancy Expense of $1.97 billion in Q3 2026, up 5.1% from $1.87 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Bank Of America (BAC) Occupancy Expense (2009 - 2026) Analysis & Trends
On a TTM basis, Bank Of America's Occupancy Expense came in at $7.67 billion as of Sep 30, 2026, up 3.7% year-over-year; for FY2025, it came in at $7.45 billion, up 2.2% from FY2024.
- Annual Occupancy Expense has increased for three straight years, with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Across earlier years, Occupancy Expense came in at $7.29 billion in FY2024 (+1.7%), $7.16 billion in FY2023 (+1.3%), $7.07 billion in FY2022 (-0.9%) and $7.14 billion in FY2021 (unchanged).
- The Q3 2026 figure is the highest quarterly Occupancy Expense since Q4 2017.
- On a year-over-year basis, Occupancy Expense has increased for 17 consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- Peak year-over-year performance for Occupancy Expense in the last five years was growth of 5.1% in Q3 2026, against a decline of 3.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.91 billion (Q2 2026), $1.9 billion (Q1 2026) and $1.88 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.97 Bn |
| Jun 30, 2026 | 1.91 Bn |
| Mar 31, 2026 | 1.90 Bn |
| Dec 31, 2025 | 1.88 Bn |
| Sep 30, 2025 | 1.87 Bn |
| Jun 30, 2025 | 1.84 Bn |
| Mar 31, 2025 | 1.86 Bn |
| Dec 31, 2024 | 1.82 Bn |
| Sep 30, 2024 | 1.84 Bn |
| Jun 30, 2024 | 1.82 Bn |
| Mar 31, 2024 | 1.81 Bn |
| Dec 31, 2023 | 1.79 Bn |
| Sep 30, 2023 | 1.80 Bn |
| Jun 30, 2023 | 1.78 Bn |
| Mar 31, 2023 | 1.80 Bn |
| Dec 31, 2022 | 1.79 Bn |
| Sep 30, 2022 | 1.78 Bn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | 1.76 Bn |
| Dec 31, 2021 | 1.79 Bn |
API Access
Bank Of America Occupancy Expense 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=occupancy-expense&ticker=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();