Ideal Power (IPWR) Total Non-Current Liabilities (2016 - 2026)
Ideal Power's Total Non-Current Liabilities came in at $1.75 million for Q2 2026, up 38.8% from $1.26 million a year earlier but down 1.7% from the prior quarter.
Ideal Power (IPWR) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Ideal Power's Total Non-Current Liabilities was $1.28 million, up 33.1% from FY2024.
- Total Non-Current Liabilities carries a three-year compound annual growth rate of 25.3% (FY2022 to FY2025).
- Going back by year, Total Non-Current Liabilities was $964,145 in FY2024 (-9.3%), $1.06 million in FY2023 (+63.0%) and $652,305 in FY2022.
- The five-year range for quarterly Total Non-Current Liabilities is $652,305 (Q4 2022) to $1.78 million (Q1 2026).
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 25.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 65.4%), and the weakest in Q4 2024 (a decline of 9.3%).
- Business Quant data shows IPWR's Total Non-Current Liabilities at $1.78 million (Q1 2026), $1.28 million (Q4 2025) and $1.22 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | 126.42 Bn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 73.69 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | 124.65 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | 8.58 Bn |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | 6.14 Bn |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 6.51 Bn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | 14.55 Bn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | 4.24 Bn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | 47.78 Bn |
| 10 | Ideal Power | 51.57 Mn | -20.67 Mn | 1,792.00 | 1.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.75 Mn |
| Mar 31, 2026 | 1.78 Mn |
| Dec 31, 2025 | 1.28 Mn |
| Sep 30, 2025 | 1.22 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | 1.08 Mn |
| Dec 31, 2024 | 964,145.00 |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 879,820.00 |
| Mar 31, 2024 | 1.07 Mn |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 974,326.00 |
| Jun 30, 2023 | 962,847.00 |
| Mar 31, 2023 | 687,313.00 |
| Dec 31, 2022 | 652,305.00 |
| Dec 31, 2018 | 428,163.00 |
| Sep 30, 2018 | 1.81 Mn |
| Jun 30, 2018 | 1.67 Mn |
| Mar 31, 2018 | 1.31 Mn |
| Dec 31, 2017 | 456,234.00 |
Ideal Power Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=IPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IPWR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=IPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();