Mvb Financial (MVBF) Occupancy Expense (2010 - 2026)
Mvb Financial's Occupancy Expense came in at $1.31 million for Q2 2026, up 1.1% from $1.3 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Mvb Financial (MVBF) Occupancy Expense (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mvb Financial reported Occupancy Expense of $5.09 million, up 9.0% year-over-year; for FY2025, it was $5.1 million, up 31.2% from FY2024.
- Occupancy Expense carries a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Going back by year, Occupancy Expense was $3.89 million in FY2024 (+5.0%), $3.7 million in FY2023 (-8.6%), $4.05 million in FY2022 (-6.8%) and $4.35 million in FY2021 (-5.5%).
- The Q2 2026 figure represents the highest quarterly Occupancy Expense since Q4 2019.
- Year-over-year, Occupancy Expense increased in seven of the last eight quarters, with growth averaging 19.5%.
- The fastest year-over-year change in Occupancy Expense over five years came in Q1 2025 (growth of 50.0%), and the weakest in Q2 2022 (a decline of 18.7%).
- Business Quant data shows MVBF's Occupancy Expense at $1.27 million (Q1 2026), $1.24 million (Q4 2025) and $1.26 million (Q3 2025) in the three quarters before Q2 2026.
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 | Mvb Financial | 333.48 Mn | -838.11 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.24 Mn |
| Jun 30, 2026 | 1.31 Mn |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 1.24 Mn |
| Sep 30, 2025 | 1.26 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 1.03 Mn |
| Sep 30, 2024 | 1.04 Mn |
| Jun 30, 2024 | 949,000.00 |
| Mar 31, 2024 | 864,000.00 |
| Dec 31, 2023 | 898,000.00 |
| Sep 30, 2023 | 921,000.00 |
| Jun 30, 2023 | 1.09 Mn |
| Mar 31, 2023 | 792,000.00 |
| Dec 31, 2022 | 1.04 Mn |
| Sep 30, 2022 | 1.13 Mn |
| Jun 30, 2022 | 907,000.00 |
| Mar 31, 2022 | 972,000.00 |
| Dec 31, 2021 | 1.05 Mn |
API Access
Mvb Financial 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=MVBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "MVBF", "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=MVBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();