Farmers & Merchants Bancorp (FMAO) Preferred Dividends & Other Adjustments (2017 - 2024)
Analysis
Farmers & Merchants Bancorp (FMAO) Preferred Dividends & Other Adjustments (2017 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Pref. Div. & Adj. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 369.00 Mn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 392.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 158.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 172.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 248.00 Mn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Farmers & Merchants Bancorp | 510.44 Mn | -55.87 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 61,000.00 |
| Sep 30, 2023 | 53,000.00 |
| Jun 30, 2023 | 66,000.00 |
| Mar 31, 2023 | 65,000.00 |
| Sep 30, 2022 | 68,000.00 |
| Jun 30, 2022 | 69,000.00 |
| Mar 31, 2022 | 69,000.00 |
| Sep 30, 2021 | 51,000.00 |
| Jun 30, 2021 | 37,000.00 |
| Mar 31, 2021 | 38,000.00 |
| Sep 30, 2020 | 34,000.00 |
| Jun 30, 2020 | 35,000.00 |
| Mar 31, 2020 | 31,000.00 |
| Sep 30, 2019 | 32,000.00 |
| Jun 30, 2019 | 44,000.00 |
| Mar 31, 2019 | 24,000.00 |
| Sep 30, 2018 | 39,000.00 |
| Jun 30, 2018 | 41,000.00 |
| Mar 31, 2018 | 38,000.00 |
| Sep 30, 2017 | 31,000.00 |
API Access
Farmers & Merchants Bancorp Preferred Dividends & Other Adjustments 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=preferred-dividends-and-other-adjustments&ticker=FMAO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-dividends-and-other-adjustments", "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=preferred-dividends-and-other-adjustments&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();