Farmers & Merchants Bancshares (FMFG) Total Liabilities (2016 - 2026)
Farmers & Merchants Bancshares (FMFG) reported Total Liabilities of $797.82 million for Q3 2026, down 1.1% from $806.47 million a year earlier and down 1.1% from the prior quarter.
Farmers & Merchants Bancshares (FMFG) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Farmers & Merchants Bancshares posted Total Liabilities of $807.3 million, up 2.4% from FY2024.
- Total Liabilities has increased for nine consecutive years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $788.37 million in FY2024 (+5.4%), $747.76 million in FY2023 (+11.5%), $670.44 million in FY2022 (+1.6%) and $660.06 million in FY2021 (+5.5%).
- Five-year quarterly Total Liabilities spans a low of $660.06 million in Q4 2021 and a high of $807.3 million in Q4 2025.
- Year over year, Total Liabilities gained in seven of the last eight quarters, with growth averaging 3.6%.
- The high point for year-over-year Total Liabilities in five years was Q4 2023 (growth of 11.5%); the low point was Q3 2026 (a decline of 1.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $806.62 million (Q2 2026), $796.83 million (Q1 2026) and $807.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 3,241.48 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 2,532.15 Bn |
| 10 | Farmers & Merchants Bancshares | 60.36 Mn | 58.16 Mn | - | 806.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 806.62 Mn |
| Mar 31, 2026 | 796.83 Mn |
| Dec 31, 2025 | 807.30 Mn |
| Sep 30, 2025 | 806.47 Mn |
| Jun 30, 2025 | 781.97 Mn |
| Mar 31, 2025 | 759.01 Mn |
| Dec 31, 2024 | 788.37 Mn |
| Sep 30, 2024 | 758.37 Mn |
| Jun 30, 2024 | 744.01 Mn |
| Mar 31, 2024 | 741.52 Mn |
| Dec 31, 2023 | 747.76 Mn |
| Sep 30, 2023 | 708.38 Mn |
| Jun 30, 2023 | 680.43 Mn |
| Mar 31, 2023 | 671.92 Mn |
| Dec 31, 2022 | 670.44 Mn |
| Sep 30, 2022 | 671.29 Mn |
| Jun 30, 2022 | 661.57 Mn |
| Mar 31, 2022 | 665.72 Mn |
| Dec 31, 2021 | 660.06 Mn |
| Sep 30, 2021 | 660.44 Mn |
Farmers & Merchants Bancshares Total Liabilities 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=total-liabilities&ticker=FMFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();