F&M Bank (FMBM) Occupancy Expense (2009 - 2026)
F&M Bank (FMBM) posted Occupancy Expense of $395,000 for Q1 2026, down 3.2% from $408,000 a year earlier but up 2.1% from the prior quarter.
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Analysis
F&M Bank (FMBM) Occupancy Expense (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Occupancy Expense at F&M Bank was $1.53 million, down 2.4% year-over-year; for FY2025, it was $1.54 million, down 0.1% from FY2024.
- Annual Occupancy Expense shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior years, F&M Bank's Occupancy Expense was $1.54 million in FY2024 (+9.0%), $1.42 million in FY2023 (+1.1%), $1.4 million in FY2022 (+11.1%) and $1.26 million in FY2021 (+8.1%).
- Quarterly Occupancy Expense has run from a low of $295,000 in Q3 2021 to a high of $409,000 in Q4 2023 over five years.
- On a year-over-year basis, Occupancy Expense increased in four of the last eight quarters, with growth averaging 4.0%.
- The strongest year-over-year quarter for Occupancy Expense in the past five years was Q2 2024, with growth of 32.2%; the weakest was Q4 2024, with a decline of 12.5%.
- According to Business Quant data, Occupancy Expense for the three prior quarters was $387,000 (Q4 2025), $362,000 (Q3 2025) and $387,000 (Q2 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 | F&M Bank | 161.60 Mn | 161.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 384,000.00 |
| Mar 31, 2026 | 395,000.00 |
| Dec 31, 2025 | 387,000.00 |
| Sep 30, 2025 | 362,000.00 |
| Jun 30, 2025 | 387,000.00 |
| Mar 31, 2025 | 408,000.00 |
| Dec 31, 2024 | 358,000.00 |
| Sep 30, 2024 | 401,000.00 |
| Jun 30, 2024 | 402,000.00 |
| Mar 31, 2024 | 374,000.00 |
| Dec 31, 2023 | 409,000.00 |
| Sep 30, 2023 | 358,000.00 |
| Jun 30, 2023 | 304,000.00 |
| Mar 31, 2023 | 335,000.00 |
| Dec 31, 2022 | 374,000.00 |
| Sep 30, 2022 | 342,000.00 |
| Jun 30, 2022 | 346,000.00 |
| Mar 31, 2022 | 340,000.00 |
| Dec 31, 2021 | 329,000.00 |
| Sep 30, 2021 | 295,000.00 |
API Access
F&M Bank 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=FMBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FMBM", "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=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();