F&M Bank (FMBM) Cash from Operations (2010 - 2026)
F&M Bank (FMBM) posted Cash from Operations of $5.7 million for Q1 2026, up 3.3% from $5.52 million a year earlier and up 196.6% from the prior quarter.
F&M Bank (FMBM) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Cash from Operations at F&M Bank was $16.69 million, up 71.9% year-over-year; for FY2025, it was $16.5 million, up 131.4% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 54.9% (FY2020 to FY2025).
- In prior years, F&M Bank's Cash from Operations was $7.13 million in FY2024 (+229.5%), $2.17 million in FY2023 (-87.7%), $17.57 million in FY2022 (-17.4%) and $21.28 million in FY2021.
- Quarterly Cash from Operations has run from a low of -$11.72 million in Q4 2022 to a high of $12.17 million in Q2 2021 over five years.
- On a year-over-year basis, Cash from Operations increased in four of the last six quarters, with growth averaging 97.9%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q3 2025, with growth of 539.0%; the weakest was Q2 2023, with a decline of 89.8%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $1.92 million (Q4 2025), $7.04 million (Q3 2025) and $2.03 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | F&M Bank | 142.42 Mn | 142.42 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.70 Mn |
| Dec 31, 2025 | 1.92 Mn |
| Sep 30, 2025 | 7.04 Mn |
| Jun 30, 2025 | 2.03 Mn |
| Mar 31, 2025 | 5.52 Mn |
| Dec 31, 2024 | 3.53 Mn |
| Sep 30, 2024 | 1.10 Mn |
| Jun 30, 2024 | -435,000.00 |
| Mar 31, 2024 | 2.94 Mn |
| Dec 31, 2023 | 2.29 Mn |
| Sep 30, 2023 | 2.23 Mn |
| Jun 30, 2023 | 873,000.00 |
| Mar 31, 2023 | -3.23 Mn |
| Dec 31, 2022 | -11.72 Mn |
| Sep 30, 2022 | 10.48 Mn |
| Jun 30, 2022 | 8.56 Mn |
| Mar 31, 2022 | 10.26 Mn |
| Dec 31, 2021 | 1.37 Mn |
| Sep 30, 2021 | 7.73 Mn |
| Jun 30, 2021 | 12.17 Mn |
F&M Bank Cash from Operations 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=cash-from-operations&ticker=FMBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();