FVCBankcorp (FVCB) Operating Expenses (2017 - 2026)
FVCBankcorp (FVCB) posted Operating Expenses of $10.59 million for Q2 2026, up 12.3% from $9.43 million a year earlier and up 7.3% from the prior quarter.
Powered by 
Analysis
FVCBankcorp (FVCB) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at FVCBankcorp was $39.47 million, up 7.4% year-over-year; for FY2025, it was $37.57 million, up 4.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In prior years, FVCBankcorp's Operating Expenses was $35.82 million in FY2024 (-2.3%), $36.66 million in FY2023 (+6.4%), $34.46 million in FY2022 (-0.2%) and $34.54 million in FY2021 (+12.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q3 2017.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 21.7%; the weakest was Q3 2022, with a decline of 8.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $9.87 million (Q1 2026), $9.54 million (Q4 2025) and $9.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | FVCBankcorp | 317.22 Mn | 317.22 Mn | - | 10.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.59 Mn |
| Mar 31, 2026 | 9.87 Mn |
| Dec 31, 2025 | 9.54 Mn |
| Sep 30, 2025 | 9.47 Mn |
| Jun 30, 2025 | 9.43 Mn |
| Mar 31, 2025 | 9.13 Mn |
| Dec 31, 2024 | 9.00 Mn |
| Sep 30, 2024 | 9.20 Mn |
| Jun 30, 2024 | 9.00 Mn |
| Mar 31, 2024 | 8.63 Mn |
| Dec 31, 2023 | 9.40 Mn |
| Sep 30, 2023 | 9.05 Mn |
| Jun 30, 2023 | 9.20 Mn |
| Mar 31, 2023 | 9.01 Mn |
| Dec 31, 2022 | 9.20 Mn |
| Sep 30, 2022 | 8.60 Mn |
| Jun 30, 2022 | 8.22 Mn |
| Mar 31, 2022 | 8.44 Mn |
| Dec 31, 2021 | 9.01 Mn |
| Sep 30, 2021 | 9.43 Mn |
API Access
FVCBankcorp Operating Expenses 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=operating-expenses&ticker=FVCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FVCB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=FVCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();