Plumas Bancorp (PLBC) Long-Term Debt Repayments (2015 - 2026)
Plumas Bancorp's Long-Term Debt Repayments came in at $5 million for Q1 2026, down 13.0% from the prior quarter.
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Analysis
Plumas Bancorp (PLBC) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
For FY2025, Plumas Bancorp's Long-Term Debt Repayments was $20.75 million, down 88.8% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $185 million in FY2024, $10.31 million in FY2023 and $5 million in FY2021 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 16.57 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 3.97 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Plumas Bancorp | 438.07 Mn | 44.66 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.00 Mn |
| Dec 31, 2025 | 5.75 Mn |
| Sep 30, 2025 | 15.00 Mn |
| Dec 31, 2024 | 140.00 Mn |
| Sep 30, 2024 | 45.00 Mn |
| Mar 31, 2023 | 10.31 Mn |
| Dec 31, 2020 | 5.00 Mn |
| Jun 30, 2017 | 2.25 Mn |
| Mar 31, 2017 | 125,000.00 |
| Dec 31, 2016 | 125,000.00 |
| Sep 30, 2016 | 125,000.00 |
| Jun 30, 2016 | 2.13 Mn |
| Mar 31, 2016 | 125,000.00 |
| Dec 31, 2015 | 125,000.00 |
API Access
Plumas Bancorp Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PLBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PLBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();