F&M Bank Corp (FMBM) Occupancy Expense (2011 - 2026)
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Analysis
F&M Bank Corp (FMBM) Occupancy Expense (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 343,000.00 |
API Access
F&M Bank Corp 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();