Hour Loop (HOUR) Price to Earnings (2022 - 2026)
Hour Loop's Price to Earnings came in at 33.05 for Q1 2026, down 84.3% from 209.92 a year earlier and down 11.0% from the prior quarter.
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Analysis
Hour Loop (HOUR) Price to Earnings (2022 - 2026) Analysis & Trends
For FY2025, Hour Loop's Price to Earnings was 37.14, down 69.1% from FY2024.
- Going back by year, Price to Earnings was 120.27 in FY2024.
- The Q1 2026 figure represents the lowest quarterly Price to Earnings since Q3 2024.
- Year-over-year, Price to Earnings increased in two of the last four quarters, with growth averaging 82.6%.
- Business Quant data shows HOUR's Price to Earnings at 37.14 (Q4 2025), 123.42 (Q3 2025) and 64.96 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 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 |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Hour Loop | 65.10 Mn | 65.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 33.05 |
| Dec 31, 2025 | 37.14 |
| Sep 30, 2025 | 123.42 |
| Jun 30, 2025 | 64.96 |
| Mar 31, 2025 | 209.92 |
| Dec 31, 2024 | 120.27 |
| Sep 30, 2024 | 28.90 |
| Jun 30, 2024 | 25.31 |
| Sep 30, 2022 | 53.58 |
| Jun 30, 2022 | 48.22 |
| Mar 31, 2022 | 32.00 |
API Access
Hour Loop Price to Earnings 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=price-to-earnings&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();