iPower (IPW) Depreciation & Amortization (CF) (2021 - 2026)
iPower's Depreciation & Amortization (CF) was $183,274 in fiscal Q3 2026 (quarter ended Mar 31, 2026), down 5.5% from $193,913 a year earlier and down 7.2% from the prior quarter.
iPower (IPW) Depreciation & Amortization (CF) (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, iPower's Depreciation & Amortization (CF) was $772,520 through Mar 31, 2026, down 1.4% year-over-year; for FY2025 (ended Jun 30, 2025), it was $779,976, down 2.0% from FY2024.
- Depreciation & Amortization (CF) shows a four-year compound annual growth rate of 183.4% (FY2021 to FY2025).
- In earlier fiscal years, Depreciation & Amortization (CF) was $796,225 in FY2024 (unchanged), $796,375 in FY2023 (+186.5%), $277,924 in FY2022 and $12,091 in FY2021.
- The fiscal Q3 2026 figure marks the lowest quarterly Depreciation & Amortization (CF) since fiscal Q4 2022.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in two of the last eight quarters, with an average decline of 1.8%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was fiscal Q3 2022 (growth of 929.7%); the worst was fiscal Q3 2026 (a decline of 5.5%).
- Per Business Quant data, IPW's Depreciation & Amortization (CF) in the three fiscal quarters before Q3 2026 was $197,548 (Q2 2026), $198,203 (Q1 2026) and $193,495 (Q4 2025).
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 | iPower | 23,423.88 | -5.66 Mn | 755,549.00 | 183,274.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 183,274.00 |
| Dec 31, 2025 | 197,548.00 |
| Sep 30, 2025 | 198,203.00 |
| Jun 30, 2025 | 193,495.00 |
| Mar 31, 2025 | 193,913.00 |
| Dec 31, 2024 | 196,010.00 |
| Sep 30, 2024 | 196,558.00 |
| Jun 30, 2024 | 196,984.00 |
| Mar 31, 2024 | 196,899.00 |
| Dec 31, 2023 | 200,637.00 |
| Sep 30, 2023 | 201,705.00 |
| Jun 30, 2023 | 201,657.00 |
| Mar 31, 2023 | 201,550.00 |
| Dec 31, 2022 | 201,234.00 |
| Sep 30, 2022 | 191,934.00 |
| Jun 30, 2022 | 182,599.00 |
| Mar 31, 2022 | 86,431.00 |
| Dec 31, 2021 | 107,917.00 |
| Sep 30, 2021 | 4,056.00 |
| Jun 30, 2021 | 3,697.00 |
iPower 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=IPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "IPW", "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=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();