Hour Loop (HOUR) Selling, General & Administrative (2021 - 2026)
Hour Loop's Selling, General & Administrative came in at $2.28 million for Q1 2026, up 15.1% from $1.98 million a year earlier but down 41.1% from the prior quarter.
Powered by 
Analysis
Hour Loop (HOUR) Selling, General & Administrative (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Hour Loop reported Selling, General & Administrative of $10.07 million, up 3.7% year-over-year; for FY2025, it was $9.77 million, up 3.2% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 25.2% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $9.47 million in FY2024 (+12.9%), $8.39 million in FY2023 (-3.4%), $8.68 million in FY2022 (+105.0%) and $4.24 million in FY2021 (+33.5%).
- The five-year range for quarterly Selling, General & Administrative is $896,993 (Q3 2021) to $4.15 million (Q4 2024).
- Year-over-year, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 9.6%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2022 (growth of 212.2%), and the weakest in Q2 2023 (a decline of 13.9%).
- Business Quant data shows HOUR's Selling, General & Administrative at $3.87 million (Q4 2025), $1.77 million (Q3 2025) and $2.16 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 5.73 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 704.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 1.53 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Hour Loop | 65.10 Mn | 65.10 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.28 Mn |
| Dec 31, 2025 | 3.87 Mn |
| Sep 30, 2025 | 1.77 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 4.15 Mn |
| Sep 30, 2024 | 1.73 Mn |
| Jun 30, 2024 | 1.84 Mn |
| Mar 31, 2024 | 1.74 Mn |
| Dec 31, 2023 | 3.07 Mn |
| Sep 30, 2023 | 1.63 Mn |
| Jun 30, 2023 | 1.96 Mn |
| Mar 31, 2023 | 1.72 Mn |
| Dec 31, 2022 | 2.99 Mn |
| Sep 30, 2022 | 1.74 Mn |
| Jun 30, 2022 | 2.28 Mn |
| Mar 31, 2022 | 1.68 Mn |
| Dec 31, 2021 | 1.88 Mn |
| Sep 30, 2021 | 896,993.00 |
| Jun 30, 2021 | 925,698.00 |
API Access
Hour Loop Selling, General & Administrative 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=selling-general-and-administrative&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();