OptimumBank Holdings (OPHC) Return on Sales [ROS] (2014 - 2026)
OptimumBank Holdings (OPHC) posted Return on Sales [ROS] of 92.33% for Q2 2026, up 7.86 percentage points from 84.47% a year earlier and up 9.11 percentage points from the prior quarter.
OptimumBank Holdings (OPHC) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at OptimumBank Holdings was 87.24%, down 13.65 percentage points year-over-year; for FY2025, it came in at 89.01%, down 19.27 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +71.26 percentage points (FY2020 to FY2025).
- In prior years, OptimumBank Holdings' Return on Sales [ROS] was 108.28% in FY2024 (+32.73 pp), 75.55% in FY2023 (+25.34 pp), 50.21% in FY2022 (+13.95 pp) and 36.27% in FY2021 (+18.52 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -2.93 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2024, with a gain of 43.46 percentage points; the weakest was Q2 2025, with a drop of 27.26 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 83.22% (Q1 2026), 88.42% (Q4 2025) and 83.93% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | OptimumBank Holdings | 103.66 Mn | 103.66 Mn | - | 92.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.33% |
| Mar 31, 2026 | 83.22% |
| Dec 31, 2025 | 88.42% |
| Sep 30, 2025 | 83.93% |
| Jun 30, 2025 | 84.47% |
| Mar 31, 2025 | 101.13% |
| Dec 31, 2024 | 113.70% |
| Sep 30, 2024 | 107.24% |
| Jun 30, 2024 | 111.74% |
| Mar 31, 2024 | 99.42% |
| Dec 31, 2023 | 91.11% |
| Sep 30, 2023 | 69.10% |
| Jun 30, 2023 | 68.27% |
| Mar 31, 2023 | 69.16% |
| Dec 31, 2022 | 81.91% |
| Sep 30, 2022 | 41.87% |
| Jun 30, 2022 | 34.05% |
| Mar 31, 2022 | 35.62% |
| Dec 31, 2021 | 43.09% |
| Sep 30, 2021 | 35.29% |
OptimumBank 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=OPHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OPHC", "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=OPHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();