Five Star Bancorp (FSBC) Return on Sales [ROS] (2020 - 2026)
Five Star Bancorp (FSBC) reported Return on Sales [ROS] of 109.13% for Q2 2026, down 6.11 percentage points from 115.24% a year earlier but up 0.66 percentage points from the prior quarter.
Five Star Bancorp (FSBC) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Five Star Bancorp's Return on Sales [ROS] came in at 110.41%, down 8.24 percentage points year-over-year; for FY2025, it came in at 114.09%, down 6.36 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +51.77 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 120.45% in FY2024 (+10.54 pp), 109.91% in FY2023 (+39.41 pp), 70.50% in FY2022 (+10.28 pp) and 60.22% in FY2021 (-2.10 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 58.43% in Q4 2021 and a high of 125.13% in Q1 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -4.28 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 48.00 percentage points); the low point was Q4 2025 (a drop of 15.12 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 108.47% (Q1 2026), 108.97% (Q4 2025) and 115.53% (Q3 2025).
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 | Five Star Bancorp | 918.61 Mn | -1.50 Bn | - | 109.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.13% |
| Mar 31, 2026 | 108.47% |
| Dec 31, 2025 | 108.97% |
| Sep 30, 2025 | 115.53% |
| Jun 30, 2025 | 115.24% |
| Mar 31, 2025 | 117.45% |
| Dec 31, 2024 | 124.09% |
| Sep 30, 2024 | 118.12% |
| Jun 30, 2024 | 114.33% |
| Mar 31, 2024 | 125.13% |
| Dec 31, 2023 | 121.11% |
| Sep 30, 2023 | 115.79% |
| Jun 30, 2023 | 106.53% |
| Mar 31, 2023 | 97.20% |
| Dec 31, 2022 | 87.96% |
| Sep 30, 2022 | 71.34% |
| Jun 30, 2022 | 58.53% |
| Mar 31, 2022 | 60.34% |
| Dec 31, 2021 | 58.43% |
| Sep 30, 2021 | 64.82% |
Five Star 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=FSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FSBC", "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=FSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();