Financial Institutions (FISI) Occupancy Expense (2011 - 2026)
Financial Institutions (FISI) recorded Occupancy Expense of $4.16 million in Q3 2026, up 9.1% from $3.81 million a year earlier and up 5.6% from the prior quarter.
Financial Institutions (FISI) Occupancy Expense (2011 - 2026) Analysis & Trends
On a TTM basis, Financial Institutions' Occupancy Expense came in at $16.07 million as of Sep 30, 2026, up 5.9% year-over-year; for FY2025, it came in at $15.49 million, up 7.9% from FY2024.
- Annual Occupancy Expense has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Occupancy Expense came in at $14.36 million in FY2024 (-3.0%), $14.8 million in FY2023 (-2.0%), $15.1 million in FY2022 (+5.1%) and $14.37 million in FY2021 (+5.2%).
- The Q3 2026 figure is the highest quarterly Occupancy Expense since Q3 2019.
- On a year-over-year basis, Occupancy Expense rose in six of the last eight quarters, with growth averaging 6.2%.
- Peak year-over-year performance for Occupancy Expense in the last five years was growth of 22.2% in Q2 2022, against a decline of 11.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.94 million (Q2 2026), $3.87 million (Q1 2026) and $4.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Financial Institutions | 832.86 Mn | 353.54 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.94 Mn |
| Mar 31, 2026 | 3.87 Mn |
| Dec 31, 2025 | 4.10 Mn |
| Sep 30, 2025 | 3.81 Mn |
| Jun 30, 2025 | 3.98 Mn |
| Mar 31, 2025 | 3.59 Mn |
| Dec 31, 2024 | 3.79 Mn |
| Sep 30, 2024 | 3.37 Mn |
| Jun 30, 2024 | 3.45 Mn |
| Mar 31, 2024 | 3.75 Mn |
| Dec 31, 2023 | 3.74 Mn |
| Sep 30, 2023 | 3.79 Mn |
| Jun 30, 2023 | 3.54 Mn |
| Mar 31, 2023 | 3.73 Mn |
| Dec 31, 2022 | 3.54 Mn |
| Sep 30, 2022 | 3.79 Mn |
| Jun 30, 2022 | 4.02 Mn |
| Mar 31, 2022 | 3.76 Mn |
| Dec 31, 2021 | 3.87 Mn |
| Sep 30, 2021 | 3.83 Mn |
Financial Institutions 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=FISI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FISI", "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=FISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();