Ceva (CEVA) Price to Sales (2011 - 2022)
Ceva's Price to Sales was 5.46 in FY2023, up 11.0% from 4.92 in FY2022.
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Analysis
Ceva (CEVA) Price to Sales (2011 - 2022) Analysis & Trends
From FY2009 onward, Ceva has reported Price to Sales for 15 years.
- Annual Price to Sales has moved between 4.92 (FY2022) and 10.10 (FY2020) over five years.
- Per Business Quant data, Price to Sales in earlier years was 4.92 in FY2022 (-43.6%), 8.73 in FY2021 (-13.5%), 10.10 in FY2020 (+49.4%) and 6.76 in FY2019 (+9.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,136.26 Bn | 4,910.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,136.54 Bn | 1,761.41 Bn | 27.22 Bn |
| 3 | Broadcom | 1,540.90 Bn | 1,466.94 Bn | 20.46 Bn |
| 4 | Micron Technology | 967.10 Bn | 872.74 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 829.08 Bn | 785.83 Bn | 6.20 Bn |
| 6 | Asml Holding | 608.19 Bn | 563.87 Bn | 5.90 Bn |
| 7 | Intel | 435.73 Bn | 304.86 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.50 Bn | 263.94 Bn | 4.59 Bn |
| 9 | Lam Research | 288.46 Bn | 265.26 Bn | 3.48 Bn |
| 10 | Ceva | 789.07 Mn | -6.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 5.33 |
| Sep 30, 2022 | 4.87 |
| Jun 30, 2022 | 6.38 |
| Dec 31, 2021 | 8.53 |
| Sep 30, 2021 | 8.42 |
| Jun 30, 2021 | 10.08 |
| Dec 31, 2020 | 10.10 |
| Sep 30, 2020 | 8.71 |
| Jun 30, 2020 | 8.33 |
| Mar 31, 2020 | 5.85 |
| Dec 31, 2019 | 6.76 |
| Sep 30, 2019 | 8.18 |
| Jun 30, 2019 | 6.82 |
| Mar 31, 2019 | 7.67 |
| Dec 31, 2018 | 6.18 |
| Sep 30, 2018 | 8.07 |
| Jun 30, 2018 | 8.24 |
| Mar 31, 2018 | 9.60 |
| Dec 31, 2017 | 11.64 |
| Sep 30, 2017 | 10.80 |
API Access
Ceva Price to Sales 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-sales&ticker=CEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=CEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();