Silicon Laboratories (SLAB) EV to FCF (2011 - 2026)
Silicon Laboratories' (SLAB) EV to FCF stood at 366.66 in Q1 2027, compared with 28.05 a year earlier and up 517.8% from the prior quarter.
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Analysis
Silicon Laboratories (SLAB) EV to FCF (2011 - 2026) Analysis & Trends
On a TTM basis, Silicon Laboratories' EV to FCF came in at 292.93 as of Apr 4, 2026; for FY2026, it came in at 59.35.
- Across earlier years, EV to FCF came in at 27.44 in FY2022 (-70.9%).
- The Q1 2027 figure is the highest quarterly EV to FCF in data going back to Q1 2015.
- Per Business Quant, the preceding three quarters came in at 59.35 (Q4 2026), 53.99 (Q3 2026) and 61.55 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Silicon Laboratories | 7.43 Bn | 5.71 Bn | 140.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 4, 2026 | 366.66 |
| Jan 3, 2026 | 59.35 |
| Oct 4, 2025 | 53.99 |
| Jul 5, 2025 | 61.55 |
| Apr 5, 2025 | 28.05 |
| Jul 1, 2023 | 306.74 |
| Apr 1, 2023 | 338.24 |
| Dec 31, 2022 | 27.44 |
| Oct 1, 2022 | 16.93 |
| Jul 2, 2022 | 28.93 |
| Apr 2, 2022 | 36.69 |
| Apr 4, 2020 | 68.55 |
| Dec 28, 2019 | 631.41 |
| Sep 28, 2019 | 28.36 |
| Jun 29, 2019 | 22.37 |
| Mar 30, 2019 | 18.10 |
| Dec 29, 2018 | 18.57 |
| Sep 29, 2018 | 19.39 |
| Jun 30, 2018 | 26.13 |
| Mar 31, 2018 | 19.87 |
API Access
Silicon Laboratories 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=SLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-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=ev-to-fcf&ticker=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();