Uscb Financial Holdings (USCB) Return on Sales [ROS] (2021 - 2026)
Uscb Financial Holdings' Return on Sales [ROS] came in at 99.86% for Q2 2026, down 6.11 percentage points from 105.96% a year earlier and down 1.94 percentage points from the prior quarter.
Uscb Financial Holdings (USCB) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Uscb Financial Holdings reported Return on Sales [ROS] of 104.53%, down 3.73 percentage points year-over-year; for FY2025, it was 108.37%, down 5.05 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +63.20 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 113.42% in FY2024 (+16.04 pp), 97.38% in FY2023 (-3355.02 pp), 3452.40% in FY2022 (+3401.92 pp) and 50.48% in FY2021 (+5.32 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2023.
- Year-over-year, Return on Sales [ROS] has declined for seven consecutive quarters, with an average year-over-year change of -4.50 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 58.01 percentage points), and the weakest in Q1 2025 (a drop of 14.19 percentage points).
- Business Quant data shows USCB's Return on Sales [ROS] at 101.80% (Q1 2026), 103.73% (Q4 2025) and 113.19% (Q3 2025) in the three quarters before Q2 2026.
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 | Uscb Financial Holdings | 365.52 Mn | 37.20 Mn | - | 104.13% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 104.13% |
| Jun 30, 2026 | 99.86% |
| Mar 31, 2026 | 101.80% |
| Dec 31, 2025 | 103.73% |
| Sep 30, 2025 | 113.19% |
| Jun 30, 2025 | 105.96% |
| Mar 31, 2025 | 109.33% |
| Dec 31, 2024 | 104.02% |
| Sep 30, 2024 | 114.24% |
| Jun 30, 2024 | 114.42% |
| Mar 31, 2024 | 123.52% |
| Dec 31, 2023 | 108.95% |
| Sep 30, 2023 | 107.70% |
| Jun 30, 2023 | 97.61% |
| Mar 31, 2023 | 77.89% |
| Dec 31, 2022 | 57.22% |
| Sep 30, 2022 | 49.69% |
| Jun 30, 2022 | 46.61% |
| Mar 31, 2022 | 47.02% |
| Dec 31, 2021 | 49.98% |
Uscb Financial Holdings 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=USCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "USCB", "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=USCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();