FB Bancorp, Inc. /MD/ (FBLA) Occupancy Expense (2023 - 2026)
Powered by 
Analysis
FB Bancorp, Inc. /MD/ (FBLA) Occupancy Expense (2023 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.91 Mn |
| Mar 31, 2026 | 1.86 Mn |
| Dec 31, 2025 | 882,000.00 |
| Sep 30, 2025 | 2.21 Mn |
| Jun 30, 2025 | 1.73 Mn |
| Mar 31, 2025 | 1.63 Mn |
| Dec 31, 2024 | 508,000.00 |
| Sep 30, 2024 | 2.03 Mn |
| Jun 30, 2024 | 2.05 Mn |
| Mar 31, 2024 | 2.03 Mn |
| Dec 31, 2023 | 2.03 Mn |
| Sep 30, 2023 | 2.02 Mn |
| Jun 30, 2023 | 2.01 Mn |
API Access
FB Bancorp, Inc. /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=FBLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FBLA", "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=FBLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();