Franklin Financial Services (FRAF) Occupancy Expense (2009 - 2026)
Franklin Financial Services' Occupancy Expense came in at $1.15 million for Q3 2026, down 6.3% from $1.23 million a year earlier and down 2.0% from the prior quarter.
Powered by 
Analysis
Franklin Financial Services (FRAF) Occupancy Expense (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Franklin Financial Services reported Occupancy Expense of $4.75 million, up 1.0% year-over-year; for FY2025, it came in at $4.78 million, up 4.3% from FY2024.
- Occupancy Expense has increased in each of the last five years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Occupancy Expense was $4.58 million in FY2024 (+4.2%), $4.4 million in FY2023 (+8.1%), $4.07 million in FY2022 (+13.7%) and $3.58 million in FY2021 (+6.9%).
- The Q3 2026 figure represents the lowest quarterly Occupancy Expense since Q2 2025.
- Year-over-year, Occupancy Expense increased in six of the last eight quarters, with growth averaging 2.1%.
- The fastest year-over-year change in Occupancy Expense over five years came in Q3 2022 (growth of 23.8%), and the weakest in Q3 2026 (a decline of 6.3%).
- Business Quant data shows FRAF's Occupancy Expense at $1.18 million (Q2 2026), $1.24 million (Q1 2026) and $1.18 million (Q4 2025) in the three quarters before Q3 2026.
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 | Franklin Financial Services | 315.86 Mn | -401.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.15 Mn |
| Jun 30, 2026 | 1.18 Mn |
| Mar 31, 2026 | 1.24 Mn |
| Dec 31, 2025 | 1.18 Mn |
| Sep 30, 2025 | 1.23 Mn |
| Jun 30, 2025 | 1.15 Mn |
| Mar 31, 2025 | 1.23 Mn |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | 1.15 Mn |
| Jun 30, 2024 | 1.15 Mn |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 1.08 Mn |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 1.11 Mn |
| Mar 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 992,000.00 |
| Sep 30, 2022 | 1.12 Mn |
| Jun 30, 2022 | 979,000.00 |
| Mar 31, 2022 | 974,000.00 |
| Dec 31, 2021 | 905,000.00 |
API Access
Franklin Financial Services 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=FRAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FRAF", "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=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();