F&M Bank (FMBM) Operating Expenses (2010 - 2026)
F&M Bank's Operating Expenses was $10.31 million in Q1 2026, up 8.3% from $9.52 million a year earlier and up 9.0% from the prior quarter.
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Analysis
F&M Bank (FMBM) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, F&M Bank's Operating Expenses was $37.81 million through Mar 31, 2026, up 6.4% year-over-year; for FY2025, it was $37.02 million, up 7.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $34.43 million in FY2024 (-11.2%), $38.77 million in FY2023 (+6.2%), $36.52 million in FY2022 (+9.5%) and $33.34 million in FY2021 (+11.4%).
- The Q1 2026 figure marks the highest quarterly Operating Expenses since Q4 2023.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 0.7%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2021 (growth of 15.9%); the worst was Q4 2024 (a decline of 22.2%).
- Per Business Quant data, FMBM's Operating Expenses in the three quarters before Q1 2026 was $9.46 million (Q4 2025), $9.32 million (Q3 2025) and $8.71 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | F&M Bank | 142.42 Mn | 142.42 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 10.31 Mn |
| Dec 31, 2025 | 9.46 Mn |
| Sep 30, 2025 | 9.32 Mn |
| Jun 30, 2025 | 8.71 Mn |
| Mar 31, 2025 | 9.52 Mn |
| Dec 31, 2024 | 8.18 Mn |
| Sep 30, 2024 | 9.66 Mn |
| Jun 30, 2024 | 8.17 Mn |
| Mar 31, 2024 | 8.42 Mn |
| Dec 31, 2023 | 10.51 Mn |
| Sep 30, 2023 | 8.89 Mn |
| Jun 30, 2023 | 10.34 Mn |
| Mar 31, 2023 | 9.19 Mn |
| Dec 31, 2022 | 9.54 Mn |
| Sep 30, 2022 | 8.87 Mn |
| Jun 30, 2022 | 9.56 Mn |
| Mar 31, 2022 | 8.55 Mn |
| Dec 31, 2021 | 8.71 Mn |
| Sep 30, 2021 | 8.50 Mn |
| Jun 30, 2021 | 8.44 Mn |
API Access
F&M Bank 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=FMBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FMBM", "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=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();