F&M Bank (FMBM) Loans - Net (2009 - 2026)
F&M Bank (FMBM) recorded Loans - Net of $888.96 million in Q1 2026, up 8.5% from $819.25 million a year earlier and up 1.2% from the prior quarter.
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Analysis
F&M Bank (FMBM) Loans - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, F&M Bank reported Loans - Net of $878.44 million, up 5.6% from FY2024.
- Annual Loans - Net has increased for six straight years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Across earlier years, Loans - Net came in at $831.82 million in FY2024 (+2.2%), $813.77 million in FY2023 (+10.6%), $735.67 million in FY2022 (+12.4%) and $654.67 million in FY2021 (+0.6%).
- The Q1 2026 figure is the highest quarterly Loans - Net in data going back to Q4 2010.
- On a year-over-year basis, Loans - Net has increased for 12 consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for Loans - Net in the last five years was growth of 15.1% in Q3 2023, against a decline of 99.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $878.44 million (Q4 2025), $864.46 million (Q3 2025) and $840.46 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 1,558.37 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1,238.26 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 1,029.86 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 297.21 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 791.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 275.65 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1,034.29 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | F&M Bank | 161.60 Mn | 161.60 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 917.18 Mn |
| Mar 31, 2026 | 888.96 Mn |
| Dec 31, 2025 | 878.44 Mn |
| Sep 30, 2025 | 864.46 Mn |
| Jun 30, 2025 | 840.46 Mn |
| Mar 31, 2025 | 819.25 Mn |
| Dec 31, 2024 | 831.82 Mn |
| Sep 30, 2024 | 822.69 Mn |
| Jun 30, 2024 | 818.53 Mn |
| Mar 31, 2024 | 817.46 Mn |
| Dec 31, 2023 | 813.77 Mn |
| Sep 30, 2023 | 796.44 Mn |
| Jun 30, 2023 | 767.49 Mn |
| Mar 31, 2023 | 748.37 Mn |
| Dec 31, 2022 | 735.67 Mn |
| Sep 30, 2022 | 692.08 Mn |
| Jun 30, 2022 | 682.70 Mn |
| Mar 31, 2022 | 652,171.00 |
| Dec 31, 2021 | 654.67 Mn |
| Sep 30, 2021 | 647.40 Mn |
API Access
F&M Bank Loans - 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=loans-net&ticker=FMBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-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=loans-net&ticker=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();