Parkervision (PRKR) Gross Margin (2018 - 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 (2018 - 2023) Analysis & Trends
Dating back to FY2016, Parkervision's Gross Margin record includes 7 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 FY2016.
- 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 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 74.98% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 67.72% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 69.13% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 84.56% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 53.77% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 52.15% |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 40.36% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 51.75% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 50.31% |
| 10 | Parkervision | 13.34 Mn | 13.34 Mn | -35,000.00 | - |
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% |
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();