F&M Bank (FMBM) Wages, Salaries and Other (2010 - 2026)
F&M Bank (FMBM) posted Wages, Salaries and Other of $4.3 million for Q1 2026, up 4.2% from $4.13 million a year earlier and up 5.6% from the prior quarter.
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Analysis
F&M Bank (FMBM) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Wages, Salaries and Other at F&M Bank was $16.16 million, up 2.7% year-over-year; for FY2025, it was $15.99 million, up 3.9% from FY2024.
- Annual Wages, Salaries and Other shows a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, F&M Bank's Wages, Salaries and Other was $15.39 million in FY2024 (-18.5%), $18.89 million in FY2023 (+11.3%), $16.97 million in FY2022 (+20.3%) and $14.1 million in FY2021 (+10.7%).
- The Q1 2026 figure stands as the highest quarterly Wages, Salaries and Other since Q4 2023.
- On a year-over-year basis, Wages, Salaries and Other has increased in each of the last three quarters, with an average decline of 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q2 2022, with growth of 31.5%; the weakest was Q4 2024, with a decline of 30.2%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $4.07 million (Q4 2025), $4.08 million (Q3 2025) and $3.7 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | F&M Bank | 145.37 Mn | 145.37 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.30 Mn |
| Dec 31, 2025 | 4.07 Mn |
| Sep 30, 2025 | 4.08 Mn |
| Jun 30, 2025 | 3.70 Mn |
| Mar 31, 2025 | 4.13 Mn |
| Dec 31, 2024 | 3.71 Mn |
| Sep 30, 2024 | 4.06 Mn |
| Jun 30, 2024 | 3.85 Mn |
| Mar 31, 2024 | 3.78 Mn |
| Dec 31, 2023 | 5.32 Mn |
| Sep 30, 2023 | 4.21 Mn |
| Jun 30, 2023 | 5.08 Mn |
| Mar 31, 2023 | 4.34 Mn |
| Dec 31, 2022 | 4.28 Mn |
| Sep 30, 2022 | 4.33 Mn |
| Jun 30, 2022 | 4.72 Mn |
| Mar 31, 2022 | 3.64 Mn |
| Dec 31, 2021 | 3.56 Mn |
| Sep 30, 2021 | 3.66 Mn |
| Jun 30, 2021 | 3.59 Mn |
API Access
F&M Bank Wages, Salaries and Other 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=wages-salaries-and-other&ticker=FMBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();