Hour Loop (HOUR) Other Operating Expenses (2021 - 2026)
Hour Loop's Other Operating Expenses was $12.6 million in Q1 2026, up 12.0% from $11.25 million a year earlier but down 49.1% from the prior quarter.
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Analysis
Hour Loop (HOUR) Other Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hour Loop's Other Operating Expenses was $63.75 million through Mar 31, 2026, up 466.3% year-over-year; for FY2025, it came in at $12,280, down 3.3% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of -26.2% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $12,695 in FY2024 (+33.0%), $9,542 in FY2023 (-4.1%), $9,950 in FY2022 (-95.3%) and $211,594 in FY2021 (+277.1%).
- Quarterly Other Operating Expenses has moved between -$254,371 (Q4 2022) and $24.77 million (Q4 2025) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last four quarters, with growth averaging 119.4%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2022 (growth of 809.1%); the worst was Q2 2023 (a decline of 99.4%).
- Per Business Quant data, HOUR's Other Operating Expenses in the three quarters before Q1 2026 was $24.77 million (Q4 2025), $14.67 million (Q3 2025) and $11.72 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Hour Loop | 68.98 Mn | 68.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 12.60 Mn |
| Dec 31, 2025 | 24.77 Mn |
| Sep 30, 2025 | 14.67 Mn |
| Jun 30, 2025 | 11.72 Mn |
| Mar 31, 2025 | 11.25 Mn |
| Dec 31, 2024 | 6,246.00 |
| Sep 30, 2024 | 516.00 |
| Jun 30, 2024 | 4,777.00 |
| Mar 31, 2024 | 1,156.00 |
| Dec 31, 2023 | 2,072.00 |
| Sep 30, 2023 | 3,527.00 |
| Jun 30, 2023 | 1,063.00 |
| Mar 31, 2023 | 2,880.00 |
| Dec 31, 2022 | -254,371.00 |
| Sep 30, 2022 | 101,655.00 |
| Jun 30, 2022 | 192,665.00 |
| Mar 31, 2022 | 42,263.00 |
| Dec 31, 2021 | 79,517.00 |
| Sep 30, 2021 | 11,182.00 |
| Jun 30, 2021 | 98,992.00 |
API Access
Hour Loop Other Operating Expenses 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=other-operating-expenses&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();