Plumas Bancorp (PLBC) Shares Outstanding (Diluted) (2010 - 2026)
Plumas Bancorp's Shares Outstanding (Diluted) was 7.06 million in Q2 2026, up 17.5% from 6.01 million a year earlier but down 0.2% from the prior quarter.
Plumas Bancorp (PLBC) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Plumas Bancorp came in at 6.52 million, up 9.2% from FY2024.
- Shares Outstanding (Diluted) has now increased for five consecutive years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 5.97 million in FY2024 (+0.6%), 5.93 million in FY2023 (+0.4%), 5.91 million in FY2022 (+5.9%) and 5.58 million in FY2021 (+6.7%).
- Quarterly Shares Outstanding (Diluted) has moved between 5.58 million (Q4 2021) and 7.07 million (Q1 2026) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 22 straight quarters, with growth averaging 8.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.1% in Q1 2024 to 17.8% in Q1 2026.
- Per Business Quant data, PLBC's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 7.07 million (Q1 2026), 6.52 million (Q4 2025) and 7.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Plumas Bancorp | 426.59 Mn | 60.27 Mn | - | 7.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.06 Mn |
| Mar 31, 2026 | 7.07 Mn |
| Dec 31, 2025 | 6.52 Mn |
| Sep 30, 2025 | 7.03 Mn |
| Jun 30, 2025 | 6.01 Mn |
| Mar 31, 2025 | 6.00 Mn |
| Dec 31, 2024 | 5.97 Mn |
| Sep 30, 2024 | 5.97 Mn |
| Jun 30, 2024 | 5.95 Mn |
| Mar 31, 2024 | 5.95 Mn |
| Dec 31, 2023 | 5.93 Mn |
| Sep 30, 2023 | 5.93 Mn |
| Jun 30, 2023 | 5.93 Mn |
| Mar 31, 2023 | 5.94 Mn |
| Dec 31, 2022 | 5.91 Mn |
| Sep 30, 2022 | 5.90 Mn |
| Jun 30, 2022 | 5.91 Mn |
| Mar 31, 2022 | 5.92 Mn |
| Dec 31, 2021 | 5.58 Mn |
| Sep 30, 2021 | 5.89 Mn |
Plumas Bancorp Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PLBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();