Synaptics (SYNA) EV to EBIT (2009 - 2023)
Synaptics' EV to EBIT was 23.48 in FY2023 (year ended Dec 31, 2023), up 181.0% from 8.36 in FY2022.
Analysis
Synaptics (SYNA) EV to EBIT (2009 - 2023) Analysis & Trends
From FY2009 onward, Synaptics has reported EV to EBIT for 13 fiscal years.
- Annual EV to EBIT has moved between 8.36 (FY2022) and 77.60 (FY2021) over five years.
- Per Business Quant data, EV to EBIT in earlier fiscal years was 8.36 in FY2022 (-89.2%), 77.60 in FY2021 and 16.78 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Synaptics | 4.69 Bn | 3.04 Bn | 140.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 30, 2023 | 133.58 |
| Sep 30, 2023 | 17.06 |
| Mar 25, 2023 | 11.98 |
| Dec 24, 2022 | 8.86 |
| Sep 24, 2022 | 9.24 |
| Mar 26, 2022 | 30.47 |
| Dec 25, 2021 | 45.66 |
| Sep 25, 2021 | 44.75 |
| Mar 27, 2021 | 37.49 |
| Dec 26, 2020 | 31.46 |
| Sep 26, 2020 | 37.66 |
| Jun 27, 2020 | 16.78 |
| Mar 28, 2020 | 85.61 |
| Dec 31, 2019 | 2,972.89 |
| Mar 31, 2019 | 57.14 |
| Dec 31, 2018 | 101.41 |
| Sep 30, 2017 | 26.59 |
| Jun 24, 2017 | 26.43 |
| Mar 31, 2017 | 63.10 |
| Dec 31, 2016 | 50.63 |
API Access
Synaptics EV to EBIT 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-ebit&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "SYNA", "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-ebit&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();