Hour Loop (HOUR) Return on Capital Employed [ROCE] (2022 - 2026)
Hour Loop (HOUR) posted Return on Capital Employed [ROCE] of 35.26% for Q1 2026, up 33.44 percentage points from 1.82% a year earlier and up 12.88 percentage points from the prior quarter.
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Analysis
Hour Loop (HOUR) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Hour Loop's Return on Capital Employed [ROCE] came in at 47.62%, up 32.86 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a three-year change of +72.79 percentage points (FY2022 to FY2025).
- In prior years, Hour Loop's Return on Capital Employed [ROCE] was 14.76% in FY2024 (+40.40 pp), -25.63% in FY2023 (-0.46 pp) and -25.17% in FY2022.
- The Q1 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in six of the last eight quarters, with an average year-over-year change of +28.69 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2024, with a gain of 127.51 percentage points; the weakest was Q3 2023, with a drop of 123.61 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 22.38% (Q4 2025), 23.99% (Q3 2025) and 15.04% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 11.49% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 30.02% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 30.97% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 15.67% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 18.45% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 47.86% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 33.85% |
| 10 | Hour Loop | 65.10 Mn | 65.10 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 35.26% |
| Dec 31, 2025 | 22.38% |
| Sep 30, 2025 | 23.99% |
| Jun 30, 2025 | 15.04% |
| Mar 31, 2025 | 1.82% |
| Dec 31, 2024 | 6.42% |
| Sep 30, 2024 | 54.23% |
| Jun 30, 2024 | 22.42% |
| Mar 31, 2024 | 1.32% |
| Dec 31, 2023 | -23.74% |
| Sep 30, 2023 | -73.27% |
| Jun 30, 2023 | -37.15% |
| Mar 31, 2023 | -19.97% |
| Dec 31, 2022 | -17.69% |
| Sep 30, 2022 | 50.34% |
| Jun 30, 2022 | 27.56% |
| Mar 31, 2022 | 58.29% |
API Access
Hour Loop Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();