Plumas Bancorp (PLBC) Professional Fees (2018 - 2022)
Plumas Bancorp (PLBC) posted Professional Fees of $1.22 million for FY2025, down 13.3% from $1.41 million in FY2024.
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Analysis
Plumas Bancorp (PLBC) Professional Fees (2018 - 2022) Analysis & Trends
Since FY2011, Plumas Bancorp has reported Professional Fees for 15 years.
- Annual Professional Fees shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- The FY2025 figure stands as the lowest annual Professional Fees since FY2020.
- Business Quant data shows PLBC's Professional Fees at $1.41 million in FY2024 (+11.8%), $1.26 million in FY2023 (-1.9%), $1.28 million in FY2022 (-2.2%) and $1.31 million in FY2021 (+90.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 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 |
|---|---|
| Jun 30, 2022 | 337,000.00 |
| Mar 31, 2022 | 279,000.00 |
| Jun 30, 2021 | 451,000.00 |
| Mar 31, 2021 | 342,000.00 |
| Mar 31, 2020 | 117,000.00 |
| Jun 30, 2019 | 223,000.00 |
| Jun 30, 2018 | 218,000.00 |
API Access
Plumas Bancorp Professional Fees 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=professional-fees&ticker=PLBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();