F&M Bank Corp (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.
F&M Bank Corp (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 Comparison
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 |
F&M Bank Corp 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_KEY
import 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();