Parkervision (PRKR) Gross Margin (2015 - 2023)
Parkervision (PRKR) reported Gross Margin of 99.09% for FY2023, up 0.17 percentage points from 98.92% in FY2022.
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Analysis
Parkervision (PRKR) Gross Margin (2015 - 2023) Analysis & Trends
Dating back to FY2009, Parkervision's Gross Margin record includes 10 years.
- Gross Margin has a five-year change of +915.39 percentage points (FY2018 to FY2023).
- The FY2023 figure ranks as the highest annual Gross Margin in data going back to FY2009.
- According to Business Quant data, Gross Margin came in at 98.92% in FY2022 (+2.39 pp), 96.53% in FY2021 and -6.76% in FY2019 (+809.54 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 83.20% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 66.41% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 74.98% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 69.13% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 86.76% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 53.90% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 52.15% |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 42.97% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Parkervision | 10.45 Mn | -1.48 Mn | -33,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 99.83% |
| Dec 31, 2022 | 99.78% |
| Sep 30, 2021 | 99.31% |
| Dec 31, 2019 | -125.00% |
| Dec 31, 2018 | -1,671.43% |
| Sep 30, 2018 | -7,492.31% |
| Jun 30, 2018 | -92.11% |
| Mar 31, 2018 | 31.17% |
| Sep 30, 2016 | 92.48% |
| Jun 30, 2016 | 25.00% |
| Mar 31, 2016 | 36.33% |
| Dec 31, 2015 | -18.88% |
API Access
Parkervision Gross Margin 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=gross-margin&ticker=PRKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=PRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();