Silicon Laboratories (SLAB) EV to CFO (2011 - 2026)
Silicon Laboratories' EV to CFO was 208.01 in Q2 2027, up 326.7% from 48.75 a year earlier and up 69.2% from the prior quarter.
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Analysis
Silicon Laboratories (SLAB) EV to CFO (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Silicon Laboratories' EV to CFO was 168.08 through Jul 4, 2026, up 362.6% year-over-year; for FY2026, it came in at 40.79.
- In earlier years, EV to CFO was 22.29 in FY2022 (-65.6%).
- The Q2 2027 figure marks the highest quarterly EV to CFO since Q1 2022.
- Per Business Quant data, SLAB's EV to CFO in the three quarters before Q2 2027 was 122.93 (Q1 2027), 40.79 (Q4 2026) and 40.75 (Q3 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 |
|---|---|
| Jul 4, 2026 | 208.01 |
| Apr 4, 2026 | 122.93 |
| Jan 3, 2026 | 40.79 |
| Oct 4, 2025 | 40.75 |
| Jul 5, 2025 | 48.75 |
| Apr 5, 2025 | 24.20 |
| Jul 1, 2023 | 106.60 |
| Apr 1, 2023 | 104.01 |
| Dec 31, 2022 | 22.29 |
| Oct 1, 2022 | 13.94 |
| Jul 2, 2022 | 21.79 |
| Apr 2, 2022 | 28.15 |
| Jan 1, 2022 | 528.37 |
| Apr 3, 2021 | 53,985.18 |
| Apr 4, 2020 | 47.16 |
| Dec 28, 2019 | 195.80 |
| Sep 28, 2019 | 25.06 |
| Jun 29, 2019 | 19.78 |
| Mar 30, 2019 | 15.77 |
| Dec 29, 2018 | 15.95 |
API Access
Silicon Laboratories EV to CFO 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-cfo&ticker=SLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();