Hour Loop (HOUR) Cost of Revenue (2021 - 2026)
Hour Loop's Cost of Revenue was $13.91 million in Q1 2026, up 19.0% from $11.69 million a year earlier but down 50.8% from the prior quarter.
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Analysis
Hour Loop (HOUR) Cost of Revenue (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hour Loop's Cost of Revenue was $70.03 million through Mar 31, 2026, up 3.4% year-over-year; for FY2025, it was $67.81 million, up 2.4% from FY2024.
- Cost of Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 32.7% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $66.24 million in FY2024 (+1.0%), $65.61 million in FY2023 (+39.8%), $46.94 million in FY2022 (+67.7%) and $27.98 million in FY2021 (+69.7%).
- Quarterly Cost of Revenue has moved between $4.85 million (Q2 2021) and $29.53 million (Q4 2024) over five years.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 6.6%.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2023 (growth of 94.2%); the worst was Q1 2024 (a decline of 10.7%).
- Per Business Quant data, HOUR's Cost of Revenue in the three quarters before Q1 2026 was $28.26 million (Q4 2025), $16.25 million (Q3 2025) and $11.61 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Hour Loop | 65.10 Mn | 65.10 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 13.91 Mn |
| Dec 31, 2025 | 28.26 Mn |
| Sep 30, 2025 | 16.25 Mn |
| Jun 30, 2025 | 11.61 Mn |
| Mar 31, 2025 | 11.69 Mn |
| Dec 31, 2024 | 29.53 Mn |
| Sep 30, 2024 | 14.04 Mn |
| Jun 30, 2024 | 12.45 Mn |
| Mar 31, 2024 | 10.23 Mn |
| Dec 31, 2023 | 29.28 Mn |
| Sep 30, 2023 | 13.82 Mn |
| Jun 30, 2023 | 11.06 Mn |
| Mar 31, 2023 | 11.45 Mn |
| Dec 31, 2022 | 26.60 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 6.44 Mn |
| Mar 31, 2022 | 5.90 Mn |
| Dec 31, 2021 | 14.13 Mn |
| Sep 30, 2021 | 4.92 Mn |
| Jun 30, 2021 | 4.85 Mn |
API Access
Hour Loop Cost of Revenue 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=cost-of-revenue&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();