Hour Loop (HOUR) Change in Inventory (2021 - 2026)
Hour Loop's Change in Inventory came in at $3.2 million for Q1 2026, up 83.2% from $1.75 million a year earlier.
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Analysis
Hour Loop (HOUR) Change in Inventory (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Hour Loop reported Change in Inventory of $5.56 million, up 18.5% year-over-year; for FY2025, it was $4.11 million, up 344.2% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 40.9% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $924,370 in FY2024, -$3.85 million in FY2023, $12.42 million in FY2022 (+410.3%) and $2.43 million in FY2021 (+229.1%).
- The five-year range for quarterly Change in Inventory is -$14.46 million (Q4 2024) to $14.36 million (Q3 2024).
- Year-over-year, Change in Inventory increased in four of the last five quarters, with growth averaging 60.0%.
- The fastest year-over-year change in Change in Inventory over five years came in Q2 2024 (growth of 142.1%), and the weakest in Q2 2023 (a decline of 58.6%).
- Business Quant data shows HOUR's Change in Inventory at -$10.63 million (Q4 2025), $8.02 million (Q3 2025) and $4.97 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 104.14 Mn |
| 10 | Hour Loop | 68.98 Mn | 68.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.20 Mn |
| Dec 31, 2025 | -10.63 Mn |
| Sep 30, 2025 | 8.02 Mn |
| Jun 30, 2025 | 4.97 Mn |
| Mar 31, 2025 | 1.75 Mn |
| Dec 31, 2024 | -14.46 Mn |
| Sep 30, 2024 | 14.36 Mn |
| Jun 30, 2024 | 3.05 Mn |
| Mar 31, 2024 | -2.02 Mn |
| Dec 31, 2023 | -9.75 Mn |
| Sep 30, 2023 | 9.23 Mn |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | -4.59 Mn |
| Dec 31, 2022 | -2.50 Mn |
| Sep 30, 2022 | 7.18 Mn |
| Jun 30, 2022 | 3.04 Mn |
| Mar 31, 2022 | 4.70 Mn |
| Dec 31, 2021 | 1.29 Mn |
| Sep 30, 2021 | -347,889.00 |
| Jun 30, 2021 | -1.48 Mn |
API Access
Hour Loop Change in 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=change-in-inventory&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();