Quaint Oak Bancorp (QNTO) Return on Sales [ROS] (2009 - 2026)
Quaint Oak Bancorp's Return on Sales [ROS] was 82.32% in Q2 2026, down 13.32 percentage points from 95.64% a year earlier and down 2.03 percentage points from the prior quarter.
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Analysis
Quaint Oak Bancorp (QNTO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quaint Oak Bancorp's Return on Sales [ROS] was 86.81% through Jun 30, 2026, down 15.13 percentage points year-over-year; for FY2025, it was 93.25%, down 18.56 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +35.93 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 111.81% in FY2024 (-6.23 pp), 118.04% in FY2023 (+66.67 pp), 51.37% in FY2022 (+9.39 pp) and 41.99% in FY2021 (-15.33 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q4 2022.
- Compared with a year earlier, Return on Sales [ROS] has declined for eight straight quarters, with an average year-over-year change of -16.79 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 81.40 percentage points); the worst was Q2 2025 (a drop of 34.63 percentage points).
- Per Business Quant data, QNTO's Return on Sales [ROS] in the three quarters before Q2 2026 was 84.35% (Q1 2026), 87.34% (Q4 2025) and 93.86% (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 | Quaint Oak Bancorp | 39.77 Mn | 39.77 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.32% |
| Mar 31, 2026 | 84.35% |
| Dec 31, 2025 | 87.34% |
| Sep 30, 2025 | 93.86% |
| Jun 30, 2025 | 95.64% |
| Mar 31, 2025 | 96.56% |
| Dec 31, 2024 | 97.68% |
| Sep 30, 2024 | 121.56% |
| Jun 30, 2024 | 130.27% |
| Mar 31, 2024 | 106.45% |
| Dec 31, 2023 | 122.65% |
| Sep 30, 2023 | 122.78% |
| Jun 30, 2023 | 125.30% |
| Mar 31, 2023 | 94.14% |
| Dec 31, 2022 | 60.73% |
| Sep 30, 2022 | 55.39% |
| Jun 30, 2022 | 29.12% |
| Mar 31, 2022 | 45.70% |
| Dec 31, 2021 | 41.53% |
| Sep 30, 2021 | 42.10% |
API Access
Quaint Oak 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=QNTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "QNTO", "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=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();