Ceva (CEVA) Asset Utilization Ratio (2011 - 2022)
Ceva's (CEVA) Asset Utilization Ratio came in at 0.32 for FY2023, down 16.0% from 0.38 in FY2022.
Analysis
Ceva (CEVA) Asset Utilization Ratio (2011 - 2022) Analysis & Trends
Since FY2011, Ceva has reported Asset Utilization Ratio for 13 years.
- The FY2023 figure stands as the lowest annual Asset Utilization Ratio since FY2019.
- Business Quant data shows CEVA's Asset Utilization Ratio at 0.38 in FY2022 (+5.7%), 0.36 in FY2021 (+7.8%), 0.33 in FY2020 (+9.5%) and 0.30 in FY2019 (+8.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn | 1.05 |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn | 0.14 |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn | 0.49 |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn | 0.81 |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn | 0.50 |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn | 0.69 |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn | 0.28 |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn | 1.05 |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn | 0.74 |
| 10 | Ceva | 834.28 Mn | 39.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 0.37 |
| Sep 30, 2022 | 0.41 |
| Jun 30, 2022 | 0.37 |
| Dec 31, 2021 | 0.36 |
| Sep 30, 2021 | 0.37 |
| Jun 30, 2021 | 0.34 |
| Dec 31, 2020 | 0.33 |
| Sep 30, 2020 | 0.34 |
| Jun 30, 2020 | 0.33 |
| Mar 31, 2020 | 0.32 |
| Dec 31, 2019 | 0.29 |
| Sep 30, 2019 | 0.28 |
| Jun 30, 2019 | 0.27 |
| Mar 31, 2019 | 0.27 |
| Dec 31, 2018 | 0.28 |
| Sep 30, 2018 | 0.28 |
| Jun 30, 2018 | 0.29 |
| Mar 31, 2018 | 0.30 |
| Dec 31, 2017 | 0.32 |
| Sep 30, 2017 | 0.33 |
API Access
Ceva Asset Utilization Ratio 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=asset-utilization-ratio&ticker=CEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=CEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();