Plumas Bancorp (PLBC) Provision for Losses (2009 - 2026)
Plumas Bancorp (PLBC) reported Provision for Losses of $600,000 for Q2 2026, down 30.2% from $860,000 a year earlier.
Plumas Bancorp (PLBC) Provision for Losses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Plumas Bancorp's Provision for Losses came in at $6.01 million, up 973.2% year-over-year; for FY2025, it was $6.85 million, up 472.7% from FY2024.
- Provision for Losses has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- By year, Provision for Losses came in at $1.2 million in FY2024 (-56.9%), $2.78 million in FY2023 (+113.5%), $1.3 million in FY2022 (+15.6%) and $1.13 million in FY2021 (-64.6%).
- Five-year quarterly Provision for Losses spans a low of -$400,000 in Q3 2024 and a high of $5.37 million in Q3 2025.
- The high point for year-over-year Provision for Losses in five years was Q1 2023 (growth of 408.3%); the low point was Q1 2025 (a decline of 69.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$330,000 (Q1 2026), $367,000 (Q4 2025) and $5.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Plumas Bancorp | 438.07 Mn | 44.66 Mn | - | 150,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 150,000.00 |
| Jun 30, 2026 | 600,000.00 |
| Mar 31, 2026 | -330,000.00 |
| Dec 31, 2025 | 367,000.00 |
| Sep 30, 2025 | 5.37 Mn |
| Jun 30, 2025 | 860,000.00 |
| Mar 31, 2025 | 250,000.00 |
| Dec 31, 2024 | -150,000.00 |
| Sep 30, 2024 | -400,000.00 |
| Jun 30, 2024 | 925,000.00 |
| Mar 31, 2024 | 821,000.00 |
| Dec 31, 2023 | 100,000.00 |
| Sep 30, 2023 | -200,000.00 |
| Jun 30, 2023 | 1.35 Mn |
| Mar 31, 2023 | 1.53 Mn |
| Dec 31, 2022 | 300,000.00 |
| Sep 30, 2022 | 300,000.00 |
| Jun 30, 2022 | 400,000.00 |
| Mar 31, 2022 | 300,000.00 |
| Dec 31, 2021 | 250,000.00 |
Plumas Bancorp Provision for Losses 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=provision-for-losses&ticker=PLBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();