Farmers & Merchants Bancorp (FMAO) Non-Current Debt (2010 - 2026)
Farmers & Merchants Bancorp (FMAO) reported Non-Current Debt of -$10 million for FY2023, compared with -$30 million in FY2022.
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Analysis
Farmers & Merchants Bancorp (FMAO) Non-Current Debt (2010 - 2026) Analysis & Trends
- According to Business Quant data, Non-Current Debt came in at -$30 million in FY2022 and $40 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 29.82 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 107.79 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 347.96 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Farmers & Merchants Bancorp | 478.28 Mn | 478.28 Mn | - | 168.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.45 Mn |
| Mar 31, 2026 | 218.99 Mn |
| Dec 31, 2025 | 227.38 Mn |
| Sep 30, 2025 | 187.91 Mn |
| Jun 30, 2025 | 188.45 Mn |
| Mar 31, 2025 | 245.47 Mn |
| Dec 31, 2024 | 246.06 Mn |
| Sep 30, 2024 | 263.08 Mn |
| Jun 30, 2024 | 266.10 Mn |
| Mar 31, 2024 | 256.63 Mn |
| Dec 31, 2023 | 265.75 Mn |
| Sep 30, 2023 | 266.29 Mn |
| Jun 30, 2023 | 266.82 Mn |
| Mar 31, 2023 | 164.33 Mn |
| Dec 31, 2022 | 127.49 Mn |
| Sep 30, 2022 | 102.15 Mn |
| Jun 30, 2022 | 42.64 Mn |
| Mar 31, 2022 | 40.00 Mn |
| Dec 31, 2021 | 40.00 Mn |
| Sep 30, 2021 | 34.44 Mn |
API Access
Farmers & Merchants Bancorp Non-Current Debt 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=non-current-debt&ticker=FMAO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=FMAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();