Plumas Bancorp (PLBC) Other Operating Expenses (2010 - 2026)
Plumas Bancorp's Other Operating Expenses was $4.34 million in Q2 2026, up 27.2% from $3.41 million a year earlier but down 11.2% from the prior quarter.
Plumas Bancorp (PLBC) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Plumas Bancorp's Other Operating Expenses was $18.92 million through Jun 30, 2026, up 41.2% year-over-year; for FY2025, it came in at $16.68 million, up 29.1% from FY2024.
- Other Operating Expenses has now increased for six consecutive years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $12.92 million in FY2024 (+8.5%), $11.91 million in FY2023 (+13.1%), $10.53 million in FY2022 (+13.7%) and $9.26 million in FY2021 (+30.7%).
- Quarterly Other Operating Expenses has moved between $2.45 million (Q1 2022) and $5.25 million (Q3 2025) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for six straight quarters, with growth averaging 23.8% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2025 (growth of 56.3%); the worst was Q4 2024 (a decline of 2.3%).
- Per Business Quant data, PLBC's Other Operating Expenses in the three quarters before Q2 2026 was $4.88 million (Q1 2026), $4.46 million (Q4 2025) and $5.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Plumas Bancorp | 426.59 Mn | 60.27 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.34 Mn |
| Mar 31, 2026 | 4.88 Mn |
| Dec 31, 2025 | 4.46 Mn |
| Sep 30, 2025 | 5.25 Mn |
| Jun 30, 2025 | 3.41 Mn |
| Mar 31, 2025 | 3.57 Mn |
| Dec 31, 2024 | 3.06 Mn |
| Sep 30, 2024 | 3.36 Mn |
| Jun 30, 2024 | 3.16 Mn |
| Mar 31, 2024 | 3.34 Mn |
| Dec 31, 2023 | 3.14 Mn |
| Sep 30, 2023 | 2.98 Mn |
| Jun 30, 2023 | 2.98 Mn |
| Mar 31, 2023 | 2.82 Mn |
| Dec 31, 2022 | 2.79 Mn |
| Sep 30, 2022 | 2.60 Mn |
| Jun 30, 2022 | 2.68 Mn |
| Mar 31, 2022 | 2.45 Mn |
| Dec 31, 2021 | 2.57 Mn |
| Sep 30, 2021 | 2.62 Mn |
Plumas Bancorp Other Operating Expenses 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=other-operating-expenses&ticker=PLBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();