Quaint Oak Bancorp (QNTO) Return on Sales [ROS] (2011 - 2026)
Quaint Oak Bancorp's Return on Sales [ROS] was 2283.47% in Q2 2026, up 79.54 percentage points from 2203.93% a year earlier and up 1168.02 percentage points from the prior quarter.
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Analysis
Quaint Oak Bancorp (QNTO) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quaint Oak Bancorp's Return on Sales [ROS] was 1661.70% through Jun 30, 2026, down 1138.62 percentage points year-over-year; for FY2025, it was 2257.97%, down 936.86 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +1715.20 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 3194.83% in FY2024 (-1661.67 pp), 4856.50% in FY2023 (+4142.93 pp), 713.57% in FY2022 (+165.79 pp) and 547.78% in FY2021 (+5.01 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -745.81 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 4178.67 percentage points); the worst was Q1 2026 (a drop of 2789.35 percentage points).
- Per Business Quant data, QNTO's Return on Sales [ROS] in the three quarters before Q2 2026 was 1115.45% (Q1 2026), 1791.56% (Q4 2025) and 1902.64% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Quaint Oak Bancorp | 38.97 Mn | -160.71 Mn | - | 2,283.47% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,283.47% |
| Mar 31, 2026 | 1,115.45% |
| Dec 31, 2025 | 1,791.56% |
| Sep 30, 2025 | 1,902.64% |
| Jun 30, 2025 | 2,203.93% |
| Mar 31, 2025 | 3,904.79% |
| Dec 31, 2024 | 2,821.28% |
| Sep 30, 2024 | 2,799.58% |
| Jun 30, 2024 | 2,919.17% |
| Mar 31, 2024 | 3,278.85% |
| Dec 31, 2023 | 4,821.87% |
| Sep 30, 2023 | 2,039.70% |
| Jun 30, 2023 | 3,568.64% |
| Mar 31, 2023 | 1,545.27% |
| Dec 31, 2022 | 643.20% |
| Sep 30, 2022 | 920.53% |
| Jun 30, 2022 | 540.17% |
| Mar 31, 2022 | 788.23% |
| Dec 31, 2021 | 509.86% |
| Sep 30, 2021 | 599.34% |
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();