Farmers & Merchants Bancshares (FMFG) Loans - Net (2016 - 2026)
Farmers & Merchants Bancshares (FMFG) recorded Loans - Net of $654.97 million in Q3 2026, up 5.2% from $622.46 million a year earlier and up 2.9% from the prior quarter.
Farmers & Merchants Bancshares (FMFG) Loans - Net (2016 - 2026) Analysis & Trends
At the end of FY2025, Farmers & Merchants Bancshares reported Loans - Net of $633.14 million, up 8.6% from FY2024.
- Annual Loans - Net has increased for four straight years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier years, Loans - Net came in at $582.99 million in FY2024 (+11.4%), $523.31 million in FY2023 (+1.2%), $516.92 million in FY2022 (+7.2%) and $482.01 million in FY2021 (-7.6%).
- The Q3 2026 figure is the highest quarterly Loans - Net in data going back to Q4 2016.
- On a year-over-year basis, Loans - Net has increased for 17 consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- Peak year-over-year performance for Loans - Net in the last five years was growth of 12.7% in Q2 2025, against a decline of 7.6% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $636.55 million (Q2 2026), $628.3 million (Q1 2026) and $633.14 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 1,558.37 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1,238.26 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 1,022.11 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 297.21 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 275.65 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1,034.29 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 898.30 Bn |
| 10 | Farmers & Merchants Bancshares | 60.36 Mn | 58.16 Mn | - | 636.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 636.55 Mn |
| Mar 31, 2026 | 628.30 Mn |
| Dec 31, 2025 | 633.14 Mn |
| Sep 30, 2025 | 622.46 Mn |
| Jun 30, 2025 | 615.47 Mn |
| Mar 31, 2025 | 600.05 Mn |
| Dec 31, 2024 | 582.99 Mn |
| Sep 30, 2024 | 571.56 Mn |
| Jun 30, 2024 | 546.04 Mn |
| Mar 31, 2024 | 537.08 Mn |
| Dec 31, 2023 | 523.31 Mn |
| Sep 30, 2023 | 526.13 Mn |
| Jun 30, 2023 | 531.00 Mn |
| Mar 31, 2023 | 520.90 Mn |
| Dec 31, 2022 | 516.92 Mn |
| Sep 30, 2022 | 505.40 Mn |
| Jun 30, 2022 | 491.08 Mn |
| Mar 31, 2022 | 483.91 Mn |
| Dec 31, 2021 | 482.01 Mn |
| Sep 30, 2021 | 495.78 Mn |
Farmers & Merchants Bancshares Loans - Net 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=loans-net&ticker=FMFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();