Hour Loop (HOUR) Long-Term Debt Repayments (2021 - 2025)
Hour Loop (HOUR) posted Long-Term Debt Repayments of $839,000 for Q1 2025, up 25.0% from the prior quarter.
Analysis
Hour Loop (HOUR) Long-Term Debt Repayments (2021 - 2025) Analysis & Trends
For FY2024, Hour Loop's Long-Term Debt Repayments came in at $671,000.
- In prior years, Hour Loop's Long-Term Debt Repayments was $1.02 million in FY2022.
- The Q1 2025 figure stands as the highest quarterly Long-Term Debt Repayments since Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | - |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Hour Loop | 58.14 Mn | 58.14 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 839,000.00 |
| Dec 31, 2024 | 671,000.00 |
| Dec 31, 2023 | -159,042.00 |
| Mar 31, 2023 | 159,042.00 |
| Dec 31, 2022 | 125,605.00 |
| Sep 30, 2022 | -125,605.00 |
| Mar 31, 2022 | 1.02 Mn |
| Jun 30, 2021 | -27,636.00 |
| Mar 31, 2021 | 45,877.00 |
API Access
Hour Loop Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HOUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();