Parkervision (PRKR) Return on Capital Employed [ROCE] (2011 - 2026)
Parkervision's Return on Capital Employed [ROCE] came in at -283.14% for Q2 2026, up 386.94 percentage points from -670.08% a year earlier but down 16.96 percentage points from the prior quarter.
Parkervision (PRKR) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Parkervision's Return on Capital Employed [ROCE] was -243.15%, down 66.54 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a four-year change of +102.16 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -176.60% in FY2024 (-1853.69 pp), 1677.09% in FY2023 (+3703.09 pp), -2026.00% in FY2022 (-1680.69 pp) and -345.31% in FY2021.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -3450.24% (Q3 2022) to 497.84% (Q4 2023).
- Year-over-year, Return on Capital Employed [ROCE] increased in three of the last six quarters, with an average year-over-year change of -68.10 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2023 (a gain of 3814.79 percentage points), and the weakest in Q3 2022 (a drop of 3131.87 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 8.47% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 60.25% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 28.98% |
| 10 | Parkervision | 13.34 Mn | 13.34 Mn | -35,000.00 | -283.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -283.14% |
| Mar 31, 2026 | -266.18% |
| Dec 31, 2025 | -643.89% |
| Jun 30, 2025 | -670.08% |
| Mar 31, 2025 | -228.87% |
| Dec 31, 2024 | -310.08% |
| Jun 30, 2024 | -930.26% |
| Mar 31, 2024 | -352.18% |
| Dec 31, 2023 | 497.84% |
| Sep 30, 2023 | 364.55% |
| Jun 30, 2023 | 113.20% |
| Mar 31, 2023 | 137.90% |
| Sep 30, 2022 | -3,450.24% |
| Jun 30, 2022 | -1,917.72% |
| Mar 31, 2022 | -626.38% |
| Dec 31, 2021 | -418.20% |
| Sep 30, 2021 | -318.37% |
| Mar 31, 2019 | -872.63% |
| Dec 31, 2018 | -910.37% |
| Sep 30, 2018 | -876.26% |
Parkervision 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=PRKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "PRKR", "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=PRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();