GBank Financial Holdings (GBFH) Occupancy Expense (2024 - 2026)
GBank Financial Holdings (GBFH) reported Occupancy Expense of $491,000 for Q3 2026, up 17.5% from $418,000 a year earlier and up 23.1% from the prior quarter.
Powered by 
Analysis
GBank Financial Holdings (GBFH) Occupancy Expense (2024 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, GBank Financial Holdings' Occupancy Expense came in at $1.71 million, up 6.3% year-over-year; for FY2025, it was $1.62 million, down 2.8% from FY2024.
- By year, Occupancy Expense came in at $1.67 million in FY2024.
- The Q3 2026 figure ranks as the highest quarterly Occupancy Expense in data going back to Q1 2024.
- Year over year, Occupancy Expense gained in four of the last seven quarters, with growth averaging 1.7%.
- Per Business Quant data, the three quarters before Q3 2026 came in at $399,000 (Q2 2026), $410,000 (Q1 2026) and $410,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | GBank Financial Holdings | 225.30 Mn | -325.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 399,000.00 |
| Mar 31, 2026 | 410,000.00 |
| Dec 31, 2025 | 410,000.00 |
| Sep 30, 2025 | 418,000.00 |
| Jun 30, 2025 | 400,000.00 |
| Mar 31, 2025 | 392,000.00 |
| Dec 31, 2024 | 398,000.00 |
| Sep 30, 2024 | 404,000.00 |
| Jun 30, 2024 | 417,000.00 |
| Mar 31, 2024 | 447,000.00 |
API Access
GBank Financial Holdings 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=GBFH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "GBFH", "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=GBFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();