Silicom (SILC) EV to EBIT (2009 - 2023)
Silicom's (SILC) EV to EBIT was 7.85 for the quarter ended Sep 30, 2023, down 35.4% from 12.14 a year earlier and down 17.1% from the prior quarter.
Silicom (SILC) EV to EBIT (2009 - 2023) Analysis & Trends
Over the twelve months ended Sep 30, 2023, Silicom's EV to EBIT came in at 0.65, down 91.8% year-over-year; for the year ended Dec 31, 2022, it came in at 12.51, down 47.1% from the prior year.
- By year, EV to EBIT came in at 23.64 in the year ended Dec 31, 2021 (-36.6%), 37.28 in the year ended Dec 31, 2020 (+87.0%), 19.94 in the year ended Dec 31, 2019 (+40.9%) and 14.16 in the year ended Dec 31, 2018 (-28.7%).
- The figure for the quarter ended Sep 30, 2023 ranks as the lowest quarterly EV to EBIT since the quarter ended Dec 31, 2012.
- Year over year, EV to EBIT has now declined in each of the last eight quarters, with an average decline of 42.8% over the last eight quarters.
- The high point for year-over-year EV to EBIT in five years was the quarter ended Jun 30, 2020 (growth of 198.8%); the low point was the quarter ended Sep 30, 2022 (a decline of 52.3%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2023 came in at 9.47 (quarter ended Jun 30, 2023), 10.02 (quarter ended Mar 31, 2023) and 12.58 (quarter ended Dec 31, 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Silicom | 291.53 Mn | 133.92 Mn | 7.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 7.85 |
| Jun 30, 2023 | 9.47 |
| Mar 31, 2023 | 10.02 |
| Dec 31, 2022 | 12.58 |
| Sep 30, 2022 | 12.14 |
| Jun 30, 2022 | 13.85 |
| Mar 31, 2022 | 18.78 |
| Dec 31, 2021 | 24.30 |
| Sep 30, 2021 | 25.46 |
| Jun 30, 2021 | 28.15 |
| Mar 31, 2021 | 32.05 |
| Dec 31, 2020 | 37.96 |
| Sep 30, 2020 | 24.83 |
| Jun 30, 2020 | 31.47 |
| Mar 31, 2020 | 21.90 |
| Dec 31, 2019 | 19.94 |
| Sep 30, 2019 | 11.26 |
| Jun 30, 2019 | 10.53 |
| Mar 31, 2019 | 12.29 |
| Dec 31, 2018 | 14.74 |
Silicom 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=SILC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "SILC", "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=SILC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();