Hour Loop (HOUR) Depreciation & Amortization (CF) (2022 - 2026)
Hour Loop's Depreciation & Amortization (CF) was $12,245 in Q1 2026, down 13.3% from $14,126 a year earlier but up 19.1% from the prior quarter.
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Analysis
Hour Loop (HOUR) Depreciation & Amortization (CF) (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hour Loop's Depreciation & Amortization (CF) was $39,505 through Mar 31, 2026, down 59.7% year-over-year; for FY2025, it was $41,386, down 65.2% from FY2024.
- Depreciation & Amortization (CF) shows a four-year compound annual growth rate of 210.0% (FY2021 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $119,064 in FY2024 (-13.7%), $138,001 in FY2023 (+74.5%), $79,084 in FY2022 and $448.00 in FY2021.
- Quarterly Depreciation & Amortization (CF) has moved between -$133,042 (Q4 2022) and $87,556 (Q3 2022) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has declined for seven straight quarters, with an average decline of 40.3% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q2 2024 (growth of 4.9%); the worst was Q2 2025 (a decline of 73.7%).
- Per Business Quant data, HOUR's Depreciation & Amortization (CF) in the three quarters before Q1 2026 was $10,277 (Q4 2025), $7,592 (Q3 2025) and $9,391 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 19.99 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 140.19 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 784.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 138.28 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 69.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 160.29 Mn |
| 10 | Hour Loop | 68.98 Mn | 68.98 Mn | - | - |
Historic Data
Download Data
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 |
API Access
Hour Loop Depreciation & Amortization (CF) 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-amortization-cf&ticker=HOUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=HOUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();