Plumas Bancorp (PLBC) Retained Earnings (2010 - 2026)
Plumas Bancorp (PLBC) reported Retained Earnings of $211.01 million for Q2 2026, up 14.7% from $183.95 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Plumas Bancorp (PLBC) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Plumas Bancorp posted Retained Earnings of $195.9 million, up 12.6% from FY2024.
- Retained Earnings has increased for 15 consecutive years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- By year, Retained Earnings came in at $174 million in FY2024 (+14.7%), $151.75 million in FY2023 (+18.2%), $128.39 million in FY2022 (+21.5%) and $105.68 million in FY2021 (+20.4%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year over year, Retained Earnings has now increased in each of the last 57 quarters, with growth averaging 13.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 11.4% in Q3 2025 to 21.5% in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $203.36 million (Q1 2026), $195.9 million (Q4 2025) and $187.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | Plumas Bancorp | 426.59 Mn | 60.27 Mn | - | 211.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 211.01 Mn |
| Mar 31, 2026 | 203.36 Mn |
| Dec 31, 2025 | 195.90 Mn |
| Sep 30, 2025 | 187.02 Mn |
| Jun 30, 2025 | 183.95 Mn |
| Mar 31, 2025 | 179.41 Mn |
| Dec 31, 2024 | 174.00 Mn |
| Sep 30, 2024 | 167.85 Mn |
| Jun 30, 2024 | 161.61 Mn |
| Mar 31, 2024 | 156.41 Mn |
| Dec 31, 2023 | 151.75 Mn |
| Sep 30, 2023 | 145.69 Mn |
| Jun 30, 2023 | 139.19 Mn |
| Mar 31, 2023 | 134.00 Mn |
| Dec 31, 2022 | 128.39 Mn |
| Sep 30, 2022 | 121.51 Mn |
| Jun 30, 2022 | 115.21 Mn |
| Mar 31, 2022 | 110.47 Mn |
| Dec 31, 2021 | 105.68 Mn |
| Sep 30, 2021 | 100.99 Mn |
API Access
Plumas Bancorp Retained Earnings 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=retained-earnings&ticker=PLBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();