iPower (IPW) Operating Leases (2021 - 2026)
iPower (IPW) recorded Operating Leases of $1.82 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), down 44.4% from $3.27 million a year earlier and down 17.2% from the prior quarter.
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Analysis
iPower (IPW) Operating Leases (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), iPower reported Operating Leases of $2.91 million, down 35.4% from FY2024.
- Annual Operating Leases has declined for three straight fiscal years, though with a four-year compound annual growth rate of 25.6% (FY2021 to FY2025).
- Across earlier fiscal years, Operating Leases came in at $4.51 million in FY2024 (-26.1%), $6.11 million in FY2023 (-26.1%), $8.27 million in FY2022 (+606.7%) and $1.17 million in FY2021.
- The fiscal Q3 2026 figure is the lowest quarterly Operating Leases since fiscal Q2 2022.
- On a year-over-year basis, Operating Leases has declined for 13 consecutive quarters, with an average decline of 35.4% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 803.6% in fiscal Q2 2023, against a decline of 44.4% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.19 million (Q2 2026), $2.56 million (Q1 2026) and $2.91 million (Q4 2025).
Peer Set
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 | iPower | 25,443.18 | -5.66 Mn | 755,549.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.82 Mn |
| Dec 31, 2025 | 2.19 Mn |
| Sep 30, 2025 | 2.56 Mn |
| Jun 30, 2025 | 2.91 Mn |
| Mar 31, 2025 | 3.27 Mn |
| Dec 31, 2024 | 3.61 Mn |
| Sep 30, 2024 | 3.95 Mn |
| Jun 30, 2024 | 4.51 Mn |
| Mar 31, 2024 | 4.95 Mn |
| Dec 31, 2023 | 5.50 Mn |
| Sep 30, 2023 | 6.02 Mn |
| Jun 30, 2023 | 6.11 Mn |
| Mar 31, 2023 | 6.57 Mn |
| Dec 31, 2022 | 7.02 Mn |
| Sep 30, 2022 | 7.62 Mn |
| Jun 30, 2022 | 8.27 Mn |
| Mar 31, 2022 | 7.57 Mn |
| Dec 31, 2021 | 777,290.00 |
| Sep 30, 2021 | 976,830.00 |
| Jun 30, 2021 | 1.17 Mn |
API Access
iPower Operating Leases 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=operating-leases&ticker=IPW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=IPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();