Farmers & Merchants Bancorp (FMCB) Equipment Expense (2010 - 2026)
Analysis
Farmers & Merchants Bancorp (FMCB) Equipment Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.80 Mn |
| Mar 31, 2026 | 1.86 Mn |
| Dec 31, 2025 | 1.73 Mn |
| Sep 30, 2025 | 1.76 Mn |
| Jun 30, 2025 | 1.78 Mn |
| Mar 31, 2025 | 1.64 Mn |
| Dec 31, 2024 | 1.55 Mn |
| Sep 30, 2024 | 1.51 Mn |
| Jun 30, 2024 | 1.54 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Dec 31, 2023 | 1.47 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 1.31 Mn |
| Mar 31, 2023 | 1.26 Mn |
| Dec 31, 2022 | 1.27 Mn |
| Sep 30, 2022 | 1.25 Mn |
| Jun 30, 2022 | 1.23 Mn |
| Mar 31, 2022 | 1.22 Mn |
| Dec 31, 2021 | 1.28 Mn |
| Sep 30, 2021 | 1.25 Mn |
API Access
Farmers & Merchants Bancorp Equipment Expense 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=equipment-expense&ticker=FMCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-expense", "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=equipment-expense&ticker=FMCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();