F&M Bank (FMBM) Other Non-Current Assets (2010 - 2026)
F&M Bank (FMBM) posted Other Non-Current Assets of $627.3 million for Q1 2026, up 15.9% from $541.25 million a year earlier and up 6.0% from the prior quarter.
F&M Bank (FMBM) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, F&M Bank's Other Non-Current Assets came in at $591.78 million, up 18.9% from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 110.2% (FY2020 to FY2025).
- In prior years, F&M Bank's Other Non-Current Assets was $497.58 million in FY2024 (-56.0%), $1.13 billion in FY2023 (+4.7%), $1.08 billion in FY2022 (-1.0%) and $1.09 billion in FY2021.
- The Q1 2026 figure stands as the highest quarterly Other Non-Current Assets since Q3 2024.
- On a year-over-year basis, Other Non-Current Assets increased in two of the last six quarters, with an average decline of 30.1%.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q3 2022, with growth of 74.5%; the weakest was Q1 2022, with a decline of 99.9%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $591.78 million (Q4 2025), $573.99 million (Q3 2025) and $549.84 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 231.78 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 2,644.04 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 175.16 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 2.90 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 30.25 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 85.46 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 189.69 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 38.74 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 85.23 Bn |
| 10 | F&M Bank | 142.42 Mn | 142.42 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 627.30 Mn |
| Dec 31, 2025 | 591.78 Mn |
| Sep 30, 2025 | 573.99 Mn |
| Jun 30, 2025 | 549.84 Mn |
| Mar 31, 2025 | 541.25 Mn |
| Dec 31, 2024 | 497.58 Mn |
| Sep 30, 2024 | 1.22 Bn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.13 Bn |
| Sep 30, 2023 | 23.94 Mn |
| Jun 30, 2023 | 24.59 Mn |
| Mar 31, 2023 | 22.08 Mn |
| Dec 31, 2022 | 1.08 Bn |
| Sep 30, 2022 | 21.30 Mn |
| Jun 30, 2022 | 20.26 Mn |
| Mar 31, 2022 | 15,691.00 |
| Dec 31, 2021 | 1.09 Bn |
| Sep 30, 2021 | 12.21 Mn |
| Jun 30, 2021 | 13.22 Mn |
F&M Bank Other Non-Current Assets 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=other-non-current-assets&ticker=FMBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();