Ceva (CEVA) Gross Margin (2010 - 2022)
Ceva's Gross Margin came in at 88.04% for FY2023, up 0.59 percentage points from 87.45% in FY2022.
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Analysis
Ceva (CEVA) Gross Margin (2010 - 2022) Analysis & Trends
Going back to FY2009, Ceva's Gross Margin data covers 15 years.
- Gross Margin carries a five-year change of -1.75 percentage points (FY2018 to FY2023).
- The five-year range for annual Gross Margin is 87.45% (FY2022) to 90.88% (FY2021).
- Per Business Quant, earlier years put Gross Margin at 87.45% in FY2022 (-3.43 pp), 90.88% in FY2021 (+1.60 pp), 89.29% in FY2020 (+0.88 pp) and 88.40% in FY2019 (-1.39 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 74.98% |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | 67.72% |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 69.13% |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 86.76% |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 53.77% |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | 51.98% |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | 40.36% |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 51.75% |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 50.31% |
| 10 | Ceva | 809.08 Mn | 13.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 131.27% |
| Sep 30, 2022 | 76.39% |
| Jun 30, 2022 | 79.44% |
| Dec 31, 2021 | 102.09% |
| Sep 30, 2021 | 85.27% |
| Jun 30, 2021 | 87.87% |
| Dec 31, 2020 | 91.15% |
| Sep 30, 2020 | 89.97% |
| Jun 30, 2020 | 87.27% |
| Mar 31, 2020 | 88.35% |
| Dec 31, 2019 | 90.03% |
| Sep 30, 2019 | 88.21% |
| Jun 30, 2019 | 86.45% |
| Mar 31, 2019 | 88.08% |
| Dec 31, 2018 | 90.72% |
| Sep 30, 2018 | 90.63% |
| Jun 30, 2018 | 88.64% |
| Mar 31, 2018 | 88.78% |
| Dec 31, 2017 | 91.10% |
| Sep 30, 2017 | 92.82% |
API Access
Ceva 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=CEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "CEVA", "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=CEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();