Silicon Laboratories (SLAB) Price to Book (2010 - 2026)
Silicon Laboratories' Price to Book was 6.65 in Q2 2027, up 40.1% from 4.75 a year earlier and up 6.0% from the prior quarter.
Analysis
Silicon Laboratories (SLAB) Price to Book (2010 - 2026) Analysis & Trends
For FY2026, Price to Book at Silicon Laboratories came in at 3.97.
- In earlier years, Price to Book was 3.84 in FY2024 (+10.0%), 3.49 in FY2023 (+13.0%) and 3.09 in FY2022 (-14.0%).
- The Q2 2027 figure marks the highest quarterly Price to Book in data going back to Q4 2010.
- Per Business Quant data, SLAB's Price to Book in the three quarters before Q2 2027 was 6.28 (Q1 2027), 3.97 (Q4 2026) and 4.12 (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 | 6.65 |
| Apr 4, 2026 | 6.28 |
| Jan 3, 2026 | 3.97 |
| Oct 4, 2025 | 4.12 |
| Jul 5, 2025 | 4.75 |
| Apr 5, 2025 | 2.80 |
| Dec 28, 2024 | 3.84 |
| Sep 28, 2024 | 3.49 |
| Jun 29, 2024 | 3.27 |
| Mar 30, 2024 | 3.94 |
| Dec 30, 2023 | 3.49 |
| Sep 30, 2023 | 2.92 |
| Jul 1, 2023 | 3.99 |
| Apr 1, 2023 | 3.95 |
| Dec 31, 2022 | 3.09 |
| Oct 1, 2022 | 2.67 |
| Jul 2, 2022 | 2.74 |
| Apr 2, 2022 | 2.76 |
| Jan 1, 2022 | 3.59 |
| Oct 2, 2021 | 2.15 |
API Access
Silicon Laboratories Price to Book 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-book&ticker=SLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();