Silicon Laboratories (SLAB) Price to FCF (2009 - 2026)
Silicon Laboratories' (SLAB) Price to FCF came in at 2402.01 for Q3 2027, compared with 59.95 a year earlier.
Analysis
Silicon Laboratories (SLAB) Price to FCF (2009 - 2026) Analysis & Trends
For FY2026, Silicon Laboratories' Price to FCF stood at 70.37.
- In prior years, Silicon Laboratories' Price to FCF was 37.83 in FY2022 (-70.7%).
- The Q3 2027 figure stands as the highest quarterly Price to FCF in data going back to Q4 2009.
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 | Silicon Laboratories | 7.39 Bn | 5.67 Bn | 152.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 2,402.01 |
| Apr 4, 2026 | 506.69 |
| Jan 3, 2026 | 70.37 |
| Oct 4, 2025 | 59.95 |
| Jul 5, 2025 | 67.09 |
| Apr 5, 2025 | 32.69 |
| Jul 1, 2023 | 346.13 |
| Apr 1, 2023 | 425.81 |
| Dec 31, 2022 | 37.83 |
| Oct 1, 2022 | 25.41 |
| Jul 2, 2022 | 43.95 |
| Apr 2, 2022 | 56.91 |
| Apr 4, 2020 | 129.06 |
| Sep 28, 2019 | 35.41 |
| Jun 29, 2019 | 27.34 |
| Mar 30, 2019 | 23.01 |
| Dec 29, 2018 | 24.51 |
| Sep 29, 2018 | 24.48 |
| Jun 30, 2018 | 31.89 |
| Mar 31, 2018 | 25.96 |
API Access
Silicon Laboratories Price 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=price-to-fcf&ticker=SLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();