Farmers & Merchants Bancshares, Inc. (FMFG) Occupancy Expense (2018 - 2026)
Powered by 
Analysis
Farmers & Merchants Bancshares, Inc. (FMFG) Occupancy Expense (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 319,000.00 |
| Mar 31, 2026 | 345,000.00 |
| Dec 31, 2025 | 279,000.00 |
| Sep 30, 2025 | 281,000.00 |
| Jun 30, 2025 | 280,000.00 |
| Mar 31, 2025 | 328,000.00 |
| Dec 31, 2024 | 271,000.00 |
| Sep 30, 2024 | 275,000.00 |
| Jun 30, 2024 | 278,000.00 |
| Mar 31, 2024 | 246,000.00 |
| Dec 31, 2023 | 229,602.00 |
| Sep 30, 2023 | 229,135.00 |
| Jun 30, 2023 | 202,147.00 |
| Mar 31, 2023 | 214,116.00 |
| Dec 31, 2022 | 219,988.00 |
| Sep 30, 2022 | 229,273.00 |
| Jun 30, 2022 | 213,238.00 |
| Mar 31, 2022 | 228,427.00 |
| Dec 31, 2021 | 211,670.00 |
| Sep 30, 2021 | 241,557.00 |
API Access
Farmers & Merchants Bancshares, Inc. 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=FMFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FMFG", "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=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();