F&M Bank (FMBM) Investment Gain (Loss) (2009 - 2026)
F&M Bank's Investment Gain (Loss) was $4.84 million in Q2 2026.
Analysis
F&M Bank (FMBM) Investment Gain (Loss) (2009 - 2026) Analysis & Trends
For FY2025, Investment Gain (Loss) at F&M Bank came in at $98,000.
- In earlier years, Investment Gain (Loss) was $232,000 in FY2023 and -$5.7 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Investment Gain (Loss) since Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Investment Gain (Loss) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 3.21 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 4.28 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 2.65 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 | -219.81 Mn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 3.40 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 2.24 Bn |
| 10 | F&M Bank | 145.37 Mn | 145.37 Mn | - | 4.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.84 Mn |
| Dec 31, 2023 | 232,000.00 |
| Jun 30, 2023 | -3.44 Mn |
| Mar 31, 2023 | 3.44 Mn |
| Dec 31, 2022 | 3.88 Mn |
| Jun 30, 2022 | -97,000.00 |
| Mar 31, 2022 | 18.05 Mn |
| Mar 31, 2021 | 71,076.00 |
| Dec 31, 2011 | 16.71 Mn |
| Sep 30, 2011 | 1.08 Mn |
| Jun 30, 2011 | 346,000.00 |
| Dec 31, 2010 | -30.00 |
| Sep 30, 2010 | 414,000.00 |
| Jun 30, 2010 | -30,000.00 |
| Dec 31, 2009 | -2,424.00 |
API Access
F&M Bank Investment Gain (Loss) 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=investment-gain-loss&ticker=FMBM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "investment-gain-loss", "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=investment-gain-loss&ticker=FMBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();