Ceva (CEVA) Price to Earnings (2011 - 2022)
Ceva's Price to Earnings came in at 870.52 for Q2 2022, up 115.0% from the prior quarter.
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Analysis
Ceva (CEVA) Price to Earnings (2011 - 2022) Analysis & Trends
For FY2021, Ceva's Price to Earnings was 2509.73.
- Going back by year, Price to Earnings was 21028.19 in FY2019, 838.49 in FY2018 and 59.80 in FY2017 (+9.8%).
- The five-year range for quarterly Price to Earnings is 49.32 (Q3 2017) to 21028.19 (Q4 2019).
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2018 (growth of 790.3%), and the weakest in Q1 2020 (a decline of 62.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn |
| 10 | Ceva | 802.65 Mn | 7.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 870.52 |
| Mar 31, 2022 | 404.83 |
| Dec 31, 2021 | 2,509.73 |
| Sep 30, 2020 | 18,236.05 |
| Jun 30, 2020 | 527.92 |
| Mar 31, 2020 | 481.10 |
| Dec 31, 2019 | 21,028.19 |
| Jun 30, 2019 | 514.08 |
| Mar 31, 2019 | 1,290.60 |
| Dec 31, 2018 | 838.49 |
| Sep 30, 2018 | 439.12 |
| Jun 30, 2018 | 140.33 |
| Mar 31, 2018 | 74.90 |
| Dec 31, 2017 | 59.80 |
| Sep 30, 2017 | 49.32 |
| Jun 30, 2017 | 59.91 |
| Mar 31, 2017 | 49.61 |
| Dec 31, 2016 | 54.48 |
| Sep 30, 2016 | 72.94 |
| Jun 30, 2016 | 55.84 |
API Access
Ceva Price to Earnings 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=price-to-earnings&ticker=CEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();