Hour Loop (HOUR) Depreciation and Depletion (2022 - 2026)
Hour Loop (HOUR) posted Depreciation and Depletion of $12,245 for Q1 2026, down 13.3% from $14,126 a year earlier but up 19.1% from the prior quarter.
Hour Loop (HOUR) Depreciation and Depletion (2022 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Depreciation and Depletion at Hour Loop was $39,505, down 59.7% year-over-year; for FY2025, it came in at $41,386, down 65.2% from FY2024.
- Annual Depreciation and Depletion shows a four-year compound annual growth rate of 210.0% (FY2021 to FY2025).
- In prior years, Hour Loop's Depreciation and Depletion was $119,064 in FY2024 (-13.7%), $138,001 in FY2023 (+74.5%), $79,084 in FY2022 and $448.00 in FY2021.
- Quarterly Depreciation and Depletion has run from a low of -$133,042 in Q4 2022 to a high of $87,556 in Q3 2022 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last seven quarters, with an average decline of 40.3% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2024, with growth of 4.9%; the weakest was Q2 2025, with a decline of 73.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $10,277 (Q4 2025), $7,592 (Q3 2025) and $9,391 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.87 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 | 339.00 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 | - |
| 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
| Date | Value |
|---|---|
| Mar 31, 2026 | 12,245.00 |
| Dec 31, 2025 | 10,277.00 |
| Sep 30, 2025 | 7,592.00 |
| Jun 30, 2025 | 9,391.00 |
| Mar 31, 2025 | 14,126.00 |
| Dec 31, 2024 | 20,440.00 |
| Sep 30, 2024 | 27,704.00 |
| Jun 30, 2024 | 35,647.00 |
| Mar 31, 2024 | 35,273.00 |
| Dec 31, 2023 | 37,560.00 |
| Sep 30, 2023 | 31,807.00 |
| Jun 30, 2023 | 33,972.00 |
| Mar 31, 2023 | 34,662.00 |
| Dec 31, 2022 | -133,042.00 |
| Sep 30, 2022 | 87,556.00 |
| Jun 30, 2022 | 67,384.00 |
| Mar 31, 2022 | 57,186.00 |
Hour Loop Depreciation and Depletion 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=depreciation-and-depletion&ticker=HOUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();