Farmers & Merchants Bancshares (FMFG) Interest Expenses (2016 - 2026)
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Analysis
Farmers & Merchants Bancshares (FMFG) Interest Expenses (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 26.02 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 17.81 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 12.94 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 12.80 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 19.02 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 11.39 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Farmers & Merchants Bancshares | 60.36 Mn | 58.16 Mn | - | 4.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.24 Mn |
| Mar 31, 2026 | 4.38 Mn |
| Dec 31, 2025 | 4.67 Mn |
| Sep 30, 2025 | 4.61 Mn |
| Jun 30, 2025 | 4.30 Mn |
| Mar 31, 2025 | 4.39 Mn |
| Dec 31, 2024 | 4.83 Mn |
| Sep 30, 2024 | 4.76 Mn |
| Jun 30, 2024 | 4.05 Mn |
| Mar 31, 2024 | 3.89 Mn |
| Dec 31, 2023 | 3.58 Mn |
| Sep 30, 2023 | 2.81 Mn |
| Jun 30, 2023 | 2.11 Mn |
| Mar 31, 2023 | 1.40 Mn |
| Dec 31, 2022 | 623,247.00 |
| Sep 30, 2022 | 494,313.00 |
| Jun 30, 2022 | 502,962.00 |
| Mar 31, 2022 | 525,636.00 |
| Dec 31, 2021 | 607,293.00 |
| Sep 30, 2021 | 662,279.00 |
API Access
Farmers & Merchants Bancshares Interest Expenses 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=interest-expenses&ticker=FMFG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "FMFG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();