Pcb Bancorp (PCB) Return on Sales [ROS] (2017 - 2026)
Pcb Bancorp's Return on Sales [ROS] came in at 121.20% for Q2 2026, down 1.69 percentage points from 122.88% a year earlier and down 1.13 percentage points from the prior quarter.
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Analysis
Pcb Bancorp (PCB) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pcb Bancorp reported Return on Sales [ROS] of 125.27%, down 1.77 percentage points year-over-year; for FY2025, it was 126.30%, down 2.56 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -1513.46 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 128.86% in FY2024 (-3868.69 pp), 3997.55% in FY2023 (+1668.93 pp), 2328.61% in FY2022 (-258.72 pp) and 2587.34% in FY2021 (+947.58 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q1 2017.
- Year-over-year, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -943.00 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 2229.19 percentage points), and the weakest in Q1 2024 (a drop of 4243.34 percentage points).
- Business Quant data shows PCB's Return on Sales [ROS] at 122.33% (Q1 2026), 124.64% (Q4 2025) and 132.92% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Pcb Bancorp | 392.32 Mn | -716.92 Mn | - | 121.20% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121.20% |
| Mar 31, 2026 | 122.33% |
| Dec 31, 2025 | 124.64% |
| Sep 30, 2025 | 132.92% |
| Jun 30, 2025 | 122.88% |
| Mar 31, 2025 | 124.33% |
| Dec 31, 2024 | 127.70% |
| Sep 30, 2024 | 134.05% |
| Jun 30, 2024 | 132.11% |
| Mar 31, 2024 | 121.36% |
| Dec 31, 2023 | 3,966.13% |
| Sep 30, 2023 | 3,825.51% |
| Jun 30, 2023 | 3,871.95% |
| Mar 31, 2023 | 4,364.70% |
| Dec 31, 2022 | 3,097.64% |
| Sep 30, 2022 | 1,596.32% |
| Jun 30, 2022 | 2,222.61% |
| Mar 31, 2022 | 2,588.83% |
| Dec 31, 2021 | 2,683.36% |
| Sep 30, 2021 | 2,824.02% |
API Access
Pcb 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=PCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PCB", "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=PCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();