First United Corp/Md/ (FUNC) Occupancy Expense (2010 - 2026)
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Analysis
First United Corp/Md/ (FUNC) Occupancy Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 690,000.00 |
| Mar 31, 2026 | 725,000.00 |
| Dec 31, 2025 | 817,000.00 |
| Sep 30, 2025 | 679,000.00 |
| Jun 30, 2025 | 675,000.00 |
| Mar 31, 2025 | 689,000.00 |
| Dec 31, 2024 | 563,000.00 |
| Sep 30, 2024 | 709,000.00 |
| Jun 30, 2024 | 652,000.00 |
| Mar 31, 2024 | 954,000.00 |
| Dec 31, 2023 | 1.17 Mn |
| Sep 30, 2023 | 745,000.00 |
| Jun 30, 2023 | 742,000.00 |
| Mar 31, 2023 | 785,000.00 |
| Dec 31, 2022 | 734,000.00 |
| Sep 30, 2022 | 734,000.00 |
| Jun 30, 2022 | 711,000.00 |
| Mar 31, 2022 | 727,000.00 |
| Dec 31, 2021 | 673,000.00 |
| Sep 30, 2021 | 684,000.00 |
API Access
First United Corp/Md/ 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=FUNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FUNC", "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=FUNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();