Plumas Bancorp (PLBC) Return on Sales [ROS] (2009 - 2026)
Plumas Bancorp (PLBC) recorded Return on Sales [ROS] of 62.62% in Q2 2026, up 8.48 percentage points from 54.14% a year earlier and up 0.75 percentage points from the prior quarter.
Powered by 
Analysis
Plumas Bancorp (PLBC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Plumas Bancorp's Return on Sales [ROS] came in at 58.17% as of Jun 30, 2026, down 0.78 percentage points year-over-year; for FY2025, it was 54.40%, down 5.79 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +9.20 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 60.18% in FY2024 (+4.28 pp), 55.90% in FY2023 (+2.83 pp), 53.07% in FY2022 (-0.16 pp) and 53.23% in FY2021 (+8.03 pp).
- Quarterly Return on Sales [ROS] has ranged from 42.08% in Q3 2025 to 65.51% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -0.34 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 12.08 percentage points in Q3 2021, against a drop of 22.71 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 61.87% (Q1 2026), 65.51% (Q4 2025) and 42.08% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Plumas Bancorp | 438.07 Mn | 44.66 Mn | - | 63.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 63.23% |
| Jun 30, 2026 | 62.62% |
| Mar 31, 2026 | 61.87% |
| Dec 31, 2025 | 65.51% |
| Sep 30, 2025 | 42.08% |
| Jun 30, 2025 | 54.14% |
| Mar 31, 2025 | 55.57% |
| Dec 31, 2024 | 61.29% |
| Sep 30, 2024 | 64.79% |
| Jun 30, 2024 | 58.43% |
| Mar 31, 2024 | 55.87% |
| Dec 31, 2023 | 60.05% |
| Sep 30, 2023 | 60.41% |
| Jun 30, 2023 | 51.17% |
| Mar 31, 2023 | 52.02% |
| Dec 31, 2022 | 55.89% |
| Sep 30, 2022 | 55.07% |
| Jun 30, 2022 | 49.39% |
| Mar 31, 2022 | 51.02% |
| Dec 31, 2021 | 49.85% |
API Access
Plumas Bancorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PLBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PLBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();