Farmers & Merchants Bancshares (FMFG) EBITDA Margin (2016 - 2026)
Farmers & Merchants Bancshares (FMFG) recorded EBITDA Margin of 1975.50% in Q2 2026, down 3.64 percentage points from 1979.14% a year earlier and down 567.62 percentage points from the prior quarter.
Farmers & Merchants Bancshares (FMFG) EBITDA Margin (2016 - 2026) Analysis & Trends
On a TTM basis, Farmers & Merchants Bancshares' EBITDA Margin came in at 2351.64% as of Jun 30, 2026, up 207.23 percentage points year-over-year; for FY2025, it came in at 2282.41%, up 187.55 percentage points from FY2024.
- Annual EBITDA Margin has increased for three straight years, with a five-year change of +4852.87 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 2094.87% in FY2024 (+413.15 pp), 1681.71% in FY2023 (+460.50 pp), 1221.21% in FY2022 (-692.74 pp) and 1913.95% in FY2021 (+4484.41 pp).
- The Q2 2026 figure is the lowest quarterly EBITDA Margin since Q2 2024.
- On a year-over-year basis, EBITDA Margin rose in seven of the last eight quarters, with an average year-over-year change of +237.61 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 633.20 percentage points in Q4 2023, against a drop of 352.14 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 2543.12% (Q1 2026), 2599.27% (Q4 2025) and 2391.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 92.35% |
| 10 | Farmers & Merchants Bancshares | 61.34 Mn | 59.14 Mn | - | 1,975.50% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,975.50% |
| Mar 31, 2026 | 2,543.12% |
| Dec 31, 2025 | 2,599.27% |
| Sep 30, 2025 | 2,391.41% |
| Jun 30, 2025 | 1,979.14% |
| Mar 31, 2025 | 2,186.28% |
| Dec 31, 2024 | 2,222.55% |
| Sep 30, 2024 | 2,202.41% |
| Jun 30, 2024 | 1,893.90% |
| Mar 31, 2024 | 2,061.62% |
| Dec 31, 2023 | 1,884.31% |
| Sep 30, 2023 | 1,768.58% |
| Jun 30, 2023 | 1,545.96% |
| Mar 31, 2023 | 1,519.27% |
| Dec 31, 2022 | 1,251.11% |
| Sep 30, 2022 | 1,145.10% |
| Jun 30, 2022 | 1,191.77% |
| Mar 31, 2022 | 1,303.37% |
| Sep 30, 2021 | 1,298.82% |
| Jun 30, 2021 | 1,543.91% |
Farmers & Merchants Bancshares EBITDA Margin 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=ebitda-margin&ticker=FMFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "FMFG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();