Hour Loop (HOUR) Change in Accured Expenses (2021 - 2026)
Hour Loop's Change in Accured Expenses was -$2.61 million in Q1 2026, compared with -$2.34 million a year earlier.
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Analysis
Hour Loop (HOUR) Change in Accured Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hour Loop's Change in Accured Expenses was $86,334 through Mar 31, 2026; for FY2025, it came in at $360,275, down 65.5% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $1.04 million in FY2024 (+354.6%), $229,540 in FY2023 (+30.8%), $175,436 in FY2022 and -$102,312 in FY2021.
- The Q1 2026 figure marks the lowest quarterly Change in Accured Expenses in data going back to Q1 2021.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 14.4%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2023 (growth of 226.7%); the worst was Q2 2025 (a decline of 73.4%).
- Per Business Quant data, HOUR's Change in Accured Expenses in the three quarters before Q1 2026 was $2.15 million (Q4 2025), $492,668 (Q3 2025) and $54,641 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Hour Loop | 65.10 Mn | 65.10 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -2.61 Mn |
| Dec 31, 2025 | 2.15 Mn |
| Sep 30, 2025 | 492,668.00 |
| Jun 30, 2025 | 54,641.00 |
| Mar 31, 2025 | -2.34 Mn |
| Dec 31, 2024 | 1.97 Mn |
| Sep 30, 2024 | -33,627.00 |
| Jun 30, 2024 | 205,387.00 |
| Mar 31, 2024 | -1.09 Mn |
| Dec 31, 2023 | 1.07 Mn |
| Sep 30, 2023 | -28,640.00 |
| Jun 30, 2023 | 148,593.00 |
| Mar 31, 2023 | -962,271.00 |
| Dec 31, 2022 | 328,042.00 |
| Sep 30, 2022 | -201,409.00 |
| Jun 30, 2022 | 267,147.00 |
| Mar 31, 2022 | -218,344.00 |
| Dec 31, 2021 | 496,516.00 |
| Sep 30, 2021 | -109,827.00 |
| Jun 30, 2021 | 86,356.00 |
API Access
Hour Loop Change in Accured 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=change-in-accured-expenses&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();