Plumas Bancorp (PLBC) Amortization - Intangibles (2018 - 2022)
Plumas Bancorp (PLBC) posted Amortization - Intangibles of $1.3 million for FY2025, up 546.8% from $201,000 in FY2024.
Analysis
Plumas Bancorp (PLBC) Amortization - Intangibles (2018 - 2022) Analysis & Trends
Since FY2011, Plumas Bancorp has reported Amortization - Intangibles for 12 years.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 45.7% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Amortization - Intangibles in data going back to FY2011.
- Business Quant data shows PLBC's Amortization - Intangibles at $201,000 in FY2024 (-15.2%), $237,000 in FY2023 (-16.5%), $284,000 in FY2022 (+15.4%) and $246,000 in FY2021 (+24.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 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 | 72,000.00 |
| Mar 31, 2022 | 72,000.00 |
| Jun 30, 2021 | 42,000.00 |
| Mar 31, 2021 | 42,000.00 |
| Mar 31, 2020 | 51,000.00 |
| Jun 30, 2019 | 69,000.00 |
| Jun 30, 2018 | 1,000.00 |
API Access
Plumas Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=PLBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();