Farmers & Merchants Bancorp (FMCB) EBITDA (2011 - 2026)
Farmers & Merchants Bancorp's EBITDA was $49.66 million in Q2 2026, up 2.8% from $48.3 million a year earlier and up 3.6% from the prior quarter.
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Analysis
Farmers & Merchants Bancorp (FMCB) EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Farmers & Merchants Bancorp's EBITDA was $194.4 million through Jun 30, 2026, up 2.8% year-over-year; for FY2025, it came in at $192.21 million, up 0.9% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In earlier years, EBITDA was $190.48 million in FY2024 (+21.0%), $157.42 million in FY2023 (+47.1%), $107.01 million in FY2022 (+12.3%) and $95.29 million in FY2021 (+4.9%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q2 2024.
- Compared with a year earlier, EBITDA has increased for four straight quarters, with growth averaging 3.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2023 (growth of 51.9%); the worst was Q2 2025 (a decline of 3.3%).
- Per Business Quant data, FMCB's EBITDA in the three quarters before Q2 2026 was $47.95 million (Q1 2026), $48.21 million (Q4 2025) and $48.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Farmers & Merchants Bancorp | 1.00 Bn | 22.32 Mn | - | 49.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.66 Mn |
| Mar 31, 2026 | 47.95 Mn |
| Dec 31, 2025 | 48.21 Mn |
| Sep 30, 2025 | 48.59 Mn |
| Jun 30, 2025 | 48.30 Mn |
| Mar 31, 2025 | 47.11 Mn |
| Dec 31, 2024 | 45.76 Mn |
| Sep 30, 2024 | 47.91 Mn |
| Jun 30, 2024 | 49.92 Mn |
| Mar 31, 2024 | 46.89 Mn |
| Dec 31, 2023 | 43.24 Mn |
| Sep 30, 2023 | 42.49 Mn |
| Jun 30, 2023 | 37.69 Mn |
| Mar 31, 2023 | 34.01 Mn |
| Dec 31, 2022 | 29.47 Mn |
| Sep 30, 2022 | 27.98 Mn |
| Jun 30, 2022 | 25.29 Mn |
| Mar 31, 2022 | 24.27 Mn |
| Dec 31, 2021 | 22.91 Mn |
| Sep 30, 2021 | 25.18 Mn |
API Access
Farmers & Merchants Bancorp 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=FMCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "FMCB", "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=FMCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();