Silicon Laboratories (SLAB) EV to EBIT (2009 - 2023)
Silicon Laboratories' EV to EBIT was 41.25 in Q3 2023, up 28.3% from 32.16 a year earlier but down 10.3% from the prior quarter.
Silicon Laboratories (SLAB) EV to EBIT (2009 - 2023) Analysis & Trends
On a trailing twelve-month basis, Silicon Laboratories' EV to EBIT was 5.25 through Sep 30, 2023; for FY2022, it was 26.40.
- In earlier years, EV to EBIT was 32.49 in FY2018 (-8.2%).
- Quarterly EV to EBIT has moved between 32.16 (Q3 2022) and 66.18 (Q3 2019) over five years.
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 | Silicon Laboratories | 7.39 Bn | 5.67 Bn | 152.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 41.25 |
| Jul 1, 2023 | 45.96 |
| Apr 1, 2023 | 38.78 |
| Oct 1, 2022 | 32.16 |
| Jul 2, 2022 | 65.98 |
| Sep 28, 2019 | 66.18 |
| Jun 29, 2019 | 60.82 |
| Mar 30, 2019 | 43.41 |
| Dec 29, 2018 | 32.49 |
| Sep 29, 2018 | 36.03 |
| Jun 30, 2018 | 40.56 |
| Mar 31, 2018 | 32.56 |
| Dec 30, 2017 | 35.39 |
| Sep 30, 2017 | 33.39 |
| Jul 1, 2017 | 30.78 |
| Apr 1, 2017 | 42.34 |
| Oct 1, 2016 | 37.79 |
| Jul 2, 2016 | 39.34 |
| Apr 2, 2016 | 48.55 |
| Oct 3, 2015 | 40.61 |
Silicon Laboratories 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=SLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "SLAB", "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=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();