Metalink (MTLK) Price to Book (2010 - 2025)
Metalink's Price to Book came in at 2.30 for Q4 2025, down 19.9% from 2.87 a year earlier.
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Analysis
Metalink (MTLK) Price to Book (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Metalink's Price to Book data covers 25 quarters.
- Going back by year, Price to Book was 2.87 in FY2024 (-30.1%), 4.11 in FY2023 (+1.7%), 4.04 in FY2022 (-47.1%) and 7.64 in FY2021 (+149.8%).
- The Q4 2025 figure represents the lowest quarterly Price to Book in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | Metalink | 2.64 Mn | 2.64 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.30 |
| Dec 31, 2024 | 2.87 |
| Dec 31, 2023 | 4.11 |
| Dec 31, 2022 | 4.04 |
| Dec 31, 2021 | 7.64 |
| Dec 31, 2020 | 3.06 |
| Dec 31, 2019 | 2.81 |
| Dec 31, 2018 | 2,743.42 |
| Dec 31, 2017 | 7.31 |
| Dec 31, 2016 | 9.37 |
| Jun 30, 2016 | 8.45 |
| Dec 31, 2015 | 6.09 |
| Dec 31, 2014 | 5.85 |
| Dec 31, 2013 | 6.21 |
| Jun 30, 2013 | 5.25 |
| Mar 31, 2013 | 4.54 |
| Dec 31, 2012 | 5.32 |
| Sep 30, 2012 | 4.45 |
| Jun 30, 2012 | 4.36 |
| Mar 31, 2012 | 3.24 |
API Access
Metalink 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=MTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "MTLK", "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=MTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();