Plumas Bancorp (PLBC) EBITDA (2010 - 2026)
Plumas Bancorp's EBITDA came in at $19.02 million for Q2 2026, up 65.7% from $11.48 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Plumas Bancorp (PLBC) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Plumas Bancorp reported EBITDA of $69.84 million, up 36.0% year-over-year; for FY2025, it was $56.3 million, up 10.1% from FY2024.
- EBITDA has increased in each of the last five years, with a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- Going back by year, EBITDA was $51.13 million in FY2024 (+9.5%), $46.68 million in FY2023 (+20.2%), $38.82 million in FY2022 (+24.0%) and $31.3 million in FY2021 (+38.5%).
- The five-year range for quarterly EBITDA is $8.16 million (Q4 2021) to $19.77 million (Q4 2025).
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 21.7% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 66.7%), and the weakest in Q3 2025 (a decline of 10.5%).
- Business Quant data shows PLBC's EBITDA at $18.44 million (Q1 2026), $19.77 million (Q4 2025) and $12.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Plumas Bancorp | 426.59 Mn | 60.27 Mn | - | 19.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.02 Mn |
| Mar 31, 2026 | 18.44 Mn |
| Dec 31, 2025 | 19.77 Mn |
| Sep 30, 2025 | 12.60 Mn |
| Jun 30, 2025 | 11.48 Mn |
| Mar 31, 2025 | 12.45 Mn |
| Dec 31, 2024 | 13.33 Mn |
| Sep 30, 2024 | 14.09 Mn |
| Jun 30, 2024 | 12.31 Mn |
| Mar 31, 2024 | 11.40 Mn |
| Dec 31, 2023 | 12.46 Mn |
| Sep 30, 2023 | 12.56 Mn |
| Jun 30, 2023 | 10.31 Mn |
| Mar 31, 2023 | 11.35 Mn |
| Dec 31, 2022 | 11.40 Mn |
| Sep 30, 2022 | 10.56 Mn |
| Jun 30, 2022 | 8.40 Mn |
| Mar 31, 2022 | 8.45 Mn |
| Dec 31, 2021 | 8.16 Mn |
| Sep 30, 2021 | 9.48 Mn |
API Access
Plumas Bancorp EBITDA 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=ebitda&ticker=PLBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();