Hour Loop (HOUR) Operating Leases (2022 - 2026)
Hour Loop (HOUR) posted Operating Leases of $60,081 for Q1 2026, down 27.8% from the prior quarter.
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Analysis
Hour Loop (HOUR) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Hour Loop's Operating Leases came in at $83,271.
- Annual Operating Leases shows a three-year compound annual growth rate of 8.6% (FY2022 to FY2025).
- In prior years, Hour Loop's Operating Leases was $2,363 in FY2023 (-96.4%) and $64,945 in FY2022.
- Quarterly Operating Leases has run from a low of $2,363 in Q4 2023 to a high of $207,402 in Q1 2022 over five years.
- According to Business Quant data, Operating Leases for the three prior quarters was $83,271 (Q4 2025), $48,426 (Q3 2025) and $61,334 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Hour Loop | 67.22 Mn | 67.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 60,081.00 |
| Dec 31, 2025 | 83,271.00 |
| Sep 30, 2025 | 48,426.00 |
| Jun 30, 2025 | 61,334.00 |
| Mar 31, 2024 | 23,995.00 |
| Dec 31, 2023 | 2,363.00 |
| Sep 30, 2023 | 5,598.00 |
| Jun 30, 2023 | 15,508.00 |
| Mar 31, 2023 | 46,951.00 |
| Dec 31, 2022 | 64,945.00 |
| Sep 30, 2022 | 151,314.00 |
| Jun 30, 2022 | 184,704.00 |
| Mar 31, 2022 | 207,402.00 |
API Access
Hour Loop Operating Leases 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=operating-leases&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();