Farmers & Merchants Bancorp (FMCB) Price to Earnings (2011 - 2026)
Farmers & Merchants Bancorp's Price to Earnings was 9.23 in Q2 2026, up 15.7% from 7.98 a year earlier and up 11.6% from the prior quarter.
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Analysis
Farmers & Merchants Bancorp (FMCB) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Farmers & Merchants Bancorp came in at 8.29, down 1.2% from FY2024.
- Price to Earnings has now declined for four consecutive years.
- In earlier years, Price to Earnings was 8.39 in FY2024 (-6.4%), 8.96 in FY2023 (-16.6%), 10.74 in FY2022 (-6.0%) and 11.42 in FY2021 (+11.8%).
- The Q2 2026 figure marks the highest quarterly Price to Earnings since Q1 2023.
- Compared with a year earlier, Price to Earnings was higher in two of the last eight quarters, with growth averaging 0.6%.
- The best year-over-year quarter for Price to Earnings over five years was Q2 2026 (growth of 15.7%); the worst was Q3 2023 (a decline of 20.4%).
- Per Business Quant data, FMCB's Price to Earnings in the three quarters before Q2 2026 was 8.27 (Q1 2026), 8.29 (Q4 2025) and 8.12 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.23 |
| Mar 31, 2026 | 8.27 |
| Dec 31, 2025 | 8.29 |
| Sep 30, 2025 | 8.12 |
| Jun 30, 2025 | 7.98 |
| Mar 31, 2025 | 8.23 |
| Dec 31, 2024 | 8.39 |
| Sep 30, 2024 | 8.14 |
| Jun 30, 2024 | 8.08 |
| Mar 31, 2024 | 8.32 |
| Dec 31, 2023 | 8.96 |
| Sep 30, 2023 | 8.26 |
| Jun 30, 2023 | 8.62 |
| Mar 31, 2023 | 9.49 |
| Dec 31, 2022 | 10.74 |
| Sep 30, 2022 | 10.38 |
| Jun 30, 2022 | 10.45 |
| Mar 31, 2022 | 11.19 |
| Dec 31, 2021 | 11.42 |
| Sep 30, 2021 | 10.75 |
API Access
Farmers & Merchants Bancorp Price to Earnings 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=price-to-earnings&ticker=FMCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=FMCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();