Hour Loop (HOUR) Property, Plant & Equipment (Net) (2021 - 2026)
Hour Loop (HOUR) recorded Property, Plant & Equipment (Net) of $75,791 in Q2 2026, up 86.8% from $40,574 a year earlier but down 13.5% from the prior quarter.
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Analysis
Hour Loop (HOUR) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2025, Hour Loop reported Property, Plant & Equipment (Net) of $95,917, up 68.9% from FY2024.
- Annual Property, Plant & Equipment (Net) has a four-year compound annual growth rate of 57.3% (FY2021 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $56,797 in FY2024 (-61.8%), $148,788 in FY2023 (-45.7%), $274,195 in FY2022 and $15,667 in FY2021.
- Quarterly Property, Plant & Equipment (Net) has ranged from $15,667 in Q4 2021 to $274,195 in Q4 2022 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for four consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 105.0% in Q1 2026, against a decline of 65.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $87,666 (Q1 2026), $95,917 (Q4 2025) and $81,986 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Hour Loop | 65.10 Mn | 65.10 Mn | - | 75,791.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75,791.00 |
| Mar 31, 2026 | 87,666.00 |
| Dec 31, 2025 | 95,917.00 |
| Sep 30, 2025 | 81,986.00 |
| Jun 30, 2025 | 40,574.00 |
| Mar 31, 2025 | 42,759.00 |
| Dec 31, 2024 | 56,797.00 |
| Sep 30, 2024 | 80,081.00 |
| Jun 30, 2024 | 104,521.00 |
| Mar 31, 2024 | 125,451.00 |
| Dec 31, 2023 | 148,788.00 |
| Sep 30, 2023 | 175,139.00 |
| Jun 30, 2023 | 208,297.00 |
| Mar 31, 2023 | 245,148.00 |
| Dec 31, 2022 | 274,195.00 |
| Sep 30, 2022 | 238,403.00 |
| Jun 30, 2022 | 156,335.00 |
| Mar 31, 2022 | 132,739.00 |
| Dec 31, 2021 | 15,667.00 |
API Access
Hour Loop Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();