Hour Loop (HOUR) Inventory (2020 - 2026)
Hour Loop (HOUR) recorded Inventory of $21.09 million in Q1 2026, up 32.7% from $15.89 million a year earlier and up 15.2% from the prior quarter.
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Analysis
Hour Loop (HOUR) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Hour Loop reported Inventory of $18.3 million, up 25.0% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 33.2% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $14.64 million in FY2024 (+2.6%), $14.28 million in FY2023 (-24.1%), $18.8 million in FY2022 (+167.0%) and $7.04 million in FY2021 (+61.4%).
- Quarterly Inventory has ranged from $7.04 million in Q4 2021 to $29.08 million in Q3 2024 over the past five years.
- On a year-over-year basis, Inventory rose in seven of the last eight quarters, with growth averaging 20.4%.
- Peak year-over-year performance for Inventory in the last five years was growth of 167.0% in Q4 2022, against a decline of 24.1% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.3 million (Q4 2025), $28.88 million (Q3 2025) and $20.94 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 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 | 21.09 Mn |
| Dec 31, 2025 | 18.30 Mn |
| Sep 30, 2025 | 28.88 Mn |
| Jun 30, 2025 | 20.94 Mn |
| Mar 31, 2025 | 15.89 Mn |
| Dec 31, 2024 | 14.64 Mn |
| Sep 30, 2024 | 29.08 Mn |
| Jun 30, 2024 | 14.66 Mn |
| Mar 31, 2024 | 11.62 Mn |
| Dec 31, 2023 | 14.28 Mn |
| Sep 30, 2023 | 23.73 Mn |
| Jun 30, 2023 | 14.42 Mn |
| Mar 31, 2023 | 13.57 Mn |
| Dec 31, 2022 | 18.80 Mn |
| Sep 30, 2022 | 21.36 Mn |
| Jun 30, 2022 | 14.60 Mn |
| Mar 31, 2022 | 11.77 Mn |
| Dec 31, 2021 | 7.04 Mn |
| Dec 31, 2020 | 4.36 Mn |
API Access
Hour Loop Inventory 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=inventory&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();