F&M Bank (FMBM) Property, Plant & Equipment (Net) (2010 - 2026)
F&M Bank's Property, Plant & Equipment (Net) was $22.04 million in Q1 2026, up 0.2% from $22 million a year earlier and up 1.9% from the prior quarter.
F&M Bank (FMBM) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at F&M Bank came in at $21.63 million, down 2.5% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $22.19 million in FY2024 (-6.2%), $23.66 million in FY2023 (+20.8%), $19.59 million in FY2022 (+14.8%) and $17.06 million in FY2021 (-4.7%).
- The Q1 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q4 2024.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in 1 of the last eight quarters, with an average decline of 4.3%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2023 (growth of 27.7%); the worst was Q1 2022 (a decline of 99.9%).
- Per Business Quant data, FMBM's Property, Plant & Equipment (Net) in the three quarters before Q1 2026 was $21.63 million (Q4 2025), $21.57 million (Q3 2025) and $21.78 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 12.79 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 11.63 Bn |
| 10 | F&M Bank | 145.37 Mn | 145.37 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 22.04 Mn |
| Dec 31, 2025 | 21.63 Mn |
| Sep 30, 2025 | 21.57 Mn |
| Jun 30, 2025 | 21.78 Mn |
| Mar 31, 2025 | 22.00 Mn |
| Dec 31, 2024 | 22.19 Mn |
| Sep 30, 2024 | 23.06 Mn |
| Jun 30, 2024 | 23.37 Mn |
| Mar 31, 2024 | 23.37 Mn |
| Dec 31, 2023 | 23.66 Mn |
| Sep 30, 2023 | 23.93 Mn |
| Jun 30, 2023 | 24.13 Mn |
| Mar 31, 2023 | 19.97 Mn |
| Dec 31, 2022 | 19.59 Mn |
| Sep 30, 2022 | 18.93 Mn |
| Jun 30, 2022 | 18.90 Mn |
| Mar 31, 2022 | 18,684.00 |
| Dec 31, 2021 | 17.06 Mn |
| Sep 30, 2021 | 17.19 Mn |
| Jun 30, 2021 | 17.43 Mn |
F&M Bank Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FMBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();