Farmers & Merchants Bancshares (FMFG) Loans - Gross (2017 - 2026)
Farmers & Merchants Bancshares' Loans - Gross was $641.9 million in Q2 2026, up 3.5% from $620.48 million a year earlier and up 1.3% from the prior quarter.
Farmers & Merchants Bancshares (FMFG) Loans - Gross (2017 - 2026) Analysis & Trends
At the end of FY2025, Loans - Gross at Farmers & Merchants Bancshares came in at $638.34 million, up 8.6% from FY2024.
- Loans - Gross has now increased for four consecutive years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In earlier years, Loans - Gross was $587.96 million in FY2024 (+11.3%), $528.17 million in FY2023 (+1.2%), $521.68 million in FY2022 (+7.3%) and $486.38 million in FY2021 (-7.5%).
- The Q2 2026 figure marks the highest quarterly Loans - Gross in data going back to Q4 2017.
- Compared with a year earlier, Loans - Gross has increased for 16 straight quarters, with growth averaging 8.7% over the last eight quarters.
- The best year-over-year quarter for Loans - Gross over five years was Q3 2021 (growth of 26.9%); the worst was Q4 2021 (a decline of 7.5%).
- Per Business Quant data, FMFG's Loans - Gross in the three quarters before Q2 2026 was $633.57 million (Q1 2026), $638.34 million (Q4 2025) and $627.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Gross (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 1,542.46 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1,217.62 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 800.51 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1,031.12 Bn |
| 10 | Farmers & Merchants Bancshares | 61.21 Mn | 59.01 Mn | - | 641.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 641.90 Mn |
| Mar 31, 2026 | 633.57 Mn |
| Dec 31, 2025 | 638.34 Mn |
| Sep 30, 2025 | 627.76 Mn |
| Jun 30, 2025 | 620.48 Mn |
| Mar 31, 2025 | 605.11 Mn |
| Dec 31, 2024 | 587.96 Mn |
| Sep 30, 2024 | 576.41 Mn |
| Jun 30, 2024 | 550.73 Mn |
| Mar 31, 2024 | 541.95 Mn |
| Dec 31, 2023 | 528.17 Mn |
| Sep 30, 2023 | 531.25 Mn |
| Jun 30, 2023 | 536.26 Mn |
| Mar 31, 2023 | 526.08 Mn |
| Dec 31, 2022 | 521.68 Mn |
| Sep 30, 2022 | 509.73 Mn |
| Jun 30, 2022 | 495.29 Mn |
| Mar 31, 2022 | 488.17 Mn |
| Dec 31, 2021 | 486.38 Mn |
| Sep 30, 2021 | 500.45 Mn |
Farmers & Merchants Bancshares Loans - Gross 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-gross&ticker=FMFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "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-gross&ticker=FMFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();