Farmers & Merchants Bancshares (FMFG) EBITDA (2016 - 2026)
Farmers & Merchants Bancshares' EBITDA was $6.93 million in Q2 2026, up 16.0% from $5.98 million a year earlier but down 1.2% from the prior quarter.
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Analysis
Farmers & Merchants Bancshares (FMFG) EBITDA (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Farmers & Merchants Bancshares' EBITDA was $28.01 million through Jun 30, 2026, up 14.2% year-over-year; for FY2025, it was $26.09 million, up 10.2% from FY2024.
- EBITDA has now increased for three consecutive years.
- In earlier years, EBITDA was $23.67 million in FY2024 (+25.6%), $18.85 million in FY2023 (+42.8%), $13.2 million in FY2022 (-4.7%) and $13.86 million in FY2021.
- Quarterly EBITDA has moved between $3.17 million (Q3 2022) and $7.1 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA has increased for 15 straight quarters, with growth averaging 14.5% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2021 (growth of 171.1%); the worst was Q3 2022 (a decline of 9.7%).
- Per Business Quant data, FMFG's EBITDA in the three quarters before Q2 2026 was $7.02 million (Q1 2026), $7.1 million (Q4 2025) and $6.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Farmers & Merchants Bancshares | 61.34 Mn | 59.14 Mn | - | 6.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.93 Mn |
| Mar 31, 2026 | 7.02 Mn |
| Dec 31, 2025 | 7.10 Mn |
| Sep 30, 2025 | 6.96 Mn |
| Jun 30, 2025 | 5.98 Mn |
| Mar 31, 2025 | 6.06 Mn |
| Dec 31, 2024 | 6.11 Mn |
| Sep 30, 2024 | 6.39 Mn |
| Jun 30, 2024 | 5.59 Mn |
| Mar 31, 2024 | 5.59 Mn |
| Dec 31, 2023 | 5.48 Mn |
| Sep 30, 2023 | 4.84 Mn |
| Jun 30, 2023 | 4.46 Mn |
| Mar 31, 2023 | 4.08 Mn |
| Dec 31, 2022 | 3.47 Mn |
| Sep 30, 2022 | 3.17 Mn |
| Jun 30, 2022 | 3.26 Mn |
| Mar 31, 2022 | 3.30 Mn |
| Dec 31, 2021 | 3.36 Mn |
| Sep 30, 2021 | 3.51 Mn |
API Access
Farmers & Merchants Bancshares EBITDA 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&ticker=FMFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();