Bank Of America (BAC-PP) Occupancy Expense (2009 - 2026)
Bank Of America's Occupancy Expense came in at $1.91 billion for Q2 2026, up 4.2% from $1.84 billion a year earlier and up 0.7% from the prior quarter.
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Analysis
Bank Of America (BAC-PP) Occupancy Expense (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bank Of America reported Occupancy Expense of $7.57 billion, up 3.0% year-over-year; for FY2025, it was $7.45 billion, up 2.2% from FY2024.
- Occupancy Expense has increased in each of the last three years, with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Going back by year, Occupancy Expense was $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 Q2 2026 figure represents the highest quarterly Occupancy Expense since Q4 2017.
- Year-over-year, Occupancy Expense has increased for 16 consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- The fastest year-over-year change in Occupancy Expense over five years came in Q2 2026 (growth of 4.2%), and the weakest in Q1 2022 (a decline of 3.8%).
- Business Quant data shows BAC-PP's Occupancy Expense at $1.9 billion (Q1 2026), $1.88 billion (Q4 2025) and $1.87 billion (Q3 2025) in the three quarters before Q2 2026.
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Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.76 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-PP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "BAC-PP", "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-PP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();