Hour Loop (HOUR) EV to EBITDA (2024 - 2026)
Hour Loop's (HOUR) EV to EBITDA came in at 22.39 for Q1 2026, down 90.6% from 238.30 a year earlier and down 5.9% from the prior quarter.
Hour Loop (HOUR) EV to EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EV to EBITDA at Hour Loop was 20.58, down 90.0% year-over-year; for FY2025, it came in at 23.79, down 73.7% from FY2024.
- In prior years, Hour Loop's EV to EBITDA was 90.53 in FY2024.
- The Q1 2026 figure stands as the lowest quarterly EV to EBITDA since Q3 2024.
- On a year-over-year basis, EV to EBITDA increased in three of the last five quarters, with growth averaging 153.3%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 23.79 (Q4 2025), 117.67 (Q3 2025) and 57.49 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Hour Loop | 67.22 Mn | 67.22 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 22.39 |
| Dec 31, 2025 | 23.79 |
| Sep 30, 2025 | 117.67 |
| Jun 30, 2025 | 57.49 |
| Mar 31, 2025 | 238.30 |
| Dec 31, 2024 | 90.53 |
| Sep 30, 2024 | 18.41 |
| Jun 30, 2024 | 14.15 |
| Mar 31, 2024 | 128.67 |
Hour Loop EV to EBITDA 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=ev-to-ebitda&ticker=HOUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();