Ideal Power (IPWR) Return on Capital Employed [ROCE] (2014 - 2026)
Ideal Power (IPWR) recorded Return on Capital Employed [ROCE] of -39.29% in Q2 2026, up 36.35 percentage points from -75.64% a year earlier and up 46.50 percentage points from the prior quarter.
Ideal Power (IPWR) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, Ideal Power reported Return on Capital Employed [ROCE] of -78.30%, down 6.76 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for four straight years, though with a five-year change of +11.32 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -71.54% in FY2024 (-2.02 pp), -69.51% in FY2023 (-36.42 pp), -33.09% in FY2022 (-0.68 pp) and -32.41% in FY2021 (+57.21 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q4 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in three of the last eight quarters, with an average year-over-year change of -8.37 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 72.31 percentage points in Q3 2021, against a drop of 53.97 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -85.79% (Q1 2026), -107.58% (Q4 2025) and -92.49% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,087.13 Bn | 4,834.62 Bn | 54.77 Bn | 67.97% |
| 2 | Cisco Systems | 413.90 Bn | 349.82 Bn | 11.06 Bn | 17.86% |
| 3 | Dell Technologies | 289.90 Bn | 245.66 Bn | 9.83 Bn | 38.06% |
| 4 | Arista Networks | 215.69 Bn | 169.14 Bn | 1.91 Bn | 28.65% |
| 5 | Sandisk | 184.10 Bn | 172.62 Bn | 7.58 Bn | 87.19% |
| 6 | Sony | 161.13 Bn | 100.89 Bn | 6.53 Bn | 15.08% |
| 7 | Seagate Technology Holdings | 145.63 Bn | 140.62 Bn | 1.90 Bn | 64.93% |
| 8 | Western Digital | 127.86 Bn | 115.99 Bn | 2.03 Bn | 43.60% |
| 9 | Hewlett Packard Enterprise | 73.67 Bn | 51.55 Bn | 4.93 Bn | 5.09% |
| 10 | Ideal Power | 46.80 Mn | -25.43 Mn | 1,792.00 | -39.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -39.29% |
| Mar 31, 2026 | -85.79% |
| Dec 31, 2025 | -107.58% |
| Sep 30, 2025 | -92.49% |
| Jun 30, 2025 | -75.64% |
| Mar 31, 2025 | -63.11% |
| Dec 31, 2024 | -53.61% |
| Sep 30, 2024 | -48.85% |
| Jun 30, 2024 | -47.15% |
| Mar 31, 2024 | -59.84% |
| Dec 31, 2023 | -83.67% |
| Sep 30, 2023 | -67.54% |
| Jun 30, 2023 | -54.14% |
| Mar 31, 2023 | -45.00% |
| Dec 31, 2022 | -36.80% |
| Sep 30, 2022 | -31.55% |
| Jun 30, 2022 | -27.06% |
| Mar 31, 2022 | -23.84% |
| Dec 31, 2021 | -18.62% |
| Sep 30, 2021 | -16.84% |
Ideal Power Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=IPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=IPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();