Farmers & Merchants Bancorp Inc (FMAO) EV to EBITDA (2011 - 2026)
Farmers & Merchants Bancorp's EV to EBITDA was 3.42 in Q2 2026, up 15.2% from 2.97 a year earlier and up 15.5% from the prior quarter.
Analysis
Farmers & Merchants Bancorp Inc (FMAO) EV to EBITDA (2011 - 2026) Analysis & Trends
For FY2025, EV to EBITDA at Farmers & Merchants Bancorp came in at 2.86, down 16.0% from FY2024.
- In earlier years, EV to EBITDA was 3.41 in FY2024 (+46.8%), 2.32 in FY2023 (-55.2%), 5.19 in FY2022 (+7.8%) and 4.81 in FY2021 (+114.9%).
- The Q2 2026 figure marks the highest quarterly EV to EBITDA since Q2 2023.
- Compared with a year earlier, EV to EBITDA was higher in four of the last eight quarters, with growth averaging 3.1%.
- The best year-over-year quarter for EV to EBITDA over five years was Q4 2021 (growth of 110.8%); the worst was Q4 2023 (a decline of 55.2%).
- Per Business Quant data, FMAO's EV to EBITDA in the three quarters before Q2 2026 was 2.96 (Q1 2026), 2.86 (Q4 2025) and 2.94 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.42 |
| Mar 31, 2026 | 2.96 |
| Dec 31, 2025 | 2.86 |
| Sep 30, 2025 | 2.93 |
| Jun 30, 2025 | 2.97 |
| Mar 31, 2025 | 2.82 |
| Dec 31, 2024 | 3.41 |
| Sep 30, 2024 | 3.40 |
| Jun 30, 2024 | 3.20 |
| Mar 31, 2024 | 3.28 |
| Dec 31, 2023 | 2.33 |
| Sep 30, 2023 | 3.11 |
| Jun 30, 2023 | 4.46 |
| Mar 31, 2023 | 5.46 |
| Dec 31, 2022 | 5.19 |
| Sep 30, 2022 | 6.93 |
| Jun 30, 2022 | 9.46 |
| Mar 31, 2022 | 11.24 |
| Dec 31, 2021 | 4.71 |
| Sep 30, 2021 | 6.95 |
API Access
Farmers & Merchants Bancorp Inc EV to 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=ev-to-ebitda&ticker=FMAO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "FMAO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();