Plumas Bancorp (PLBC) EBITDA Margin (2009 - 2026)
Plumas Bancorp (PLBC) recorded EBITDA Margin of 67.51% in Q2 2026, up 11.57 percentage points from 55.94% a year earlier and up 3.42 percentage points from the prior quarter.
Plumas Bancorp (PLBC) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Plumas Bancorp's EBITDA Margin came in at 61.40% as of Jun 30, 2026, up 0.64 percentage points year-over-year; for FY2025, it came in at 56.68%, down 5.02 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +3.52 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 61.70% in FY2024 (+4.12 pp), 57.58% in FY2023 (+5.17 pp), 52.41% in FY2022 (+1.91 pp) and 50.50% in FY2021 (-2.66 pp).
- Quarterly EBITDA Margin has ranged from 41.76% in Q4 2021 to 68.30% in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA Margin has increased for three consecutive quarters, with an average year-over-year change of +0.54 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 15.73 percentage points in Q4 2022, against a drop of 22.07 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 64.08% (Q1 2026), 68.30% (Q4 2025) and 45.04% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Plumas Bancorp | 438.07 Mn | 44.66 Mn | - | 65.98% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.98% |
| Jun 30, 2026 | 67.51% |
| Mar 31, 2026 | 64.08% |
| Dec 31, 2025 | 2,578.73% |
| Sep 30, 2025 | 47.13% |
| Jun 30, 2025 | 55.94% |
| Mar 31, 2025 | 56.78% |
| Dec 31, 2024 | 3,987.39% |
| Sep 30, 2024 | 68.02% |
| Jun 30, 2024 | 59.73% |
| Mar 31, 2024 | 58.60% |
| Dec 31, 2023 | 6,395.62% |
| Sep 30, 2023 | 63.20% |
| Jun 30, 2023 | 54.01% |
| Mar 31, 2023 | 54.95% |
| Dec 31, 2022 | 59.15% |
| Sep 30, 2022 | 55.92% |
| Jun 30, 2022 | 51.10% |
| Mar 31, 2022 | 48.81% |
| Dec 31, 2021 | 43.71% |
Plumas Bancorp EBITDA Margin 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-margin&ticker=PLBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();