Farmers & Merchants Bancorp Inc (FMAO) Occupancy Expense (2010 - 2026)
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Analysis
Farmers & Merchants Bancorp Inc (FMAO) Occupancy Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 931,000.00 |
| Mar 31, 2026 | 1.17 Mn |
| Dec 31, 2025 | 1.05 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 1.08 Mn |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | 1.07 Mn |
| Sep 30, 2024 | 1.05 Mn |
| Jun 30, 2024 | 999,000.00 |
| Mar 31, 2024 | 1.03 Mn |
| Dec 31, 2023 | 1.19 Mn |
| Sep 30, 2023 | 950,000.00 |
| Jun 30, 2023 | 840,000.00 |
| Mar 31, 2023 | 856,000.00 |
| Dec 31, 2022 | 753,000.00 |
| Sep 30, 2022 | 693,000.00 |
| Jun 30, 2022 | 522,000.00 |
| Mar 31, 2022 | 598,000.00 |
| Dec 31, 2021 | 532,000.00 |
| Sep 30, 2021 | 529,000.00 |
API Access
Farmers & Merchants Bancorp 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=FMAO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FMAO", "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=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();