Hour Loop (HOUR) Return on Sales [ROS] (2021 - 2026)
Hour Loop's Return on Sales [ROS] came in at 3.82% for Q1 2026, up 0.25 percentage points from 3.56% a year earlier and up 5.28 percentage points from the prior quarter.
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Analysis
Hour Loop (HOUR) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Hour Loop reported Return on Sales [ROS] of 1.83%, up 1.75 percentage points year-over-year; for FY2025, it was 1.73%, up 1.20 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -8.21 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 0.53% in FY2024 (+2.80 pp), -2.27% in FY2023 (-0.28 pp), -2.00% in FY2022 (-10.71 pp) and 8.72% in FY2021 (-1.22 pp).
- The five-year range for quarterly Return on Sales [ROS] is -7.65% (Q1 2023) to 10.69% (Q4 2021).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +1.11 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2024 (a gain of 13.88 percentage points), and the weakest in Q1 2022 (a drop of 15.30 percentage points).
- Business Quant data shows HOUR's Return on Sales [ROS] at -1.47% (Q4 2025), 2.22% (Q3 2025) and 5.98% (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Hour Loop | 65.10 Mn | 65.10 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.82% |
| Dec 31, 2025 | -1.47% |
| Sep 30, 2025 | 2.22% |
| Jun 30, 2025 | 5.98% |
| Mar 31, 2025 | 3.56% |
| Dec 31, 2024 | -4.53% |
| Sep 30, 2024 | 2.32% |
| Jun 30, 2024 | 3.34% |
| Mar 31, 2024 | 6.23% |
| Dec 31, 2023 | -1.03% |
| Sep 30, 2023 | 0.24% |
| Jun 30, 2023 | -3.78% |
| Mar 31, 2023 | -7.65% |
| Dec 31, 2022 | -1.58% |
| Sep 30, 2022 | 0.21% |
| Jun 30, 2022 | -2.70% |
| Mar 31, 2022 | -6.03% |
| Dec 31, 2021 | 10.69% |
| Sep 30, 2021 | 1.78% |
| Jun 30, 2021 | 9.18% |
API Access
Hour Loop 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=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HOUR", "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=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();