Ceva (CEVA) EV to FCF (2011 - 2025)
Ceva's (CEVA) EV to FCF was 432.39 for Q1 2025, down 61.8% from the prior quarter.
Analysis
Ceva (CEVA) EV to FCF (2011 - 2025) Analysis & Trends
Over the twelve months ended Mar 31, 2025, Ceva's EV to FCF came in at -16.92; for FY2024, it came in at 1131.42.
- By year, EV to FCF came in at 134.79 in FY2022 (+265.4%), 36.89 in FY2021 (-50.0%) and 73.84 in FY2020 (-8.4%).
- The Q1 2025 figure ranks as the lowest quarterly EV to FCF since Q4 2022.
- The high point for year-over-year EV to FCF in five years was Q4 2022 (growth of 265.4%); the low point was Q2 2022 (a decline of 66.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn |
| 10 | Ceva | 834.28 Mn | 39.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 432.39 |
| Dec 31, 2024 | 1,131.42 |
| Dec 31, 2022 | 134.79 |
| Sep 30, 2022 | 43.95 |
| Jun 30, 2022 | 40.77 |
| Mar 31, 2022 | 44.09 |
| Dec 31, 2021 | 36.89 |
| Sep 30, 2021 | 44.11 |
| Jun 30, 2021 | 119.91 |
| Mar 31, 2021 | 55.13 |
| Dec 31, 2020 | 73.84 |
| Sep 30, 2020 | 74.80 |
| Jun 30, 2020 | 41.45 |
| Mar 31, 2020 | 58.71 |
| Dec 31, 2019 | 80.66 |
| Sep 30, 2019 | 98.85 |
| Jun 30, 2019 | 118.48 |
| Mar 31, 2019 | 61.59 |
| Dec 31, 2018 | 72.09 |
| Sep 30, 2018 | 75.82 |
API Access
Ceva EV to FCF 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=ev-to-fcf&ticker=CEVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=CEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();