Nam Tai Property (NTPIF) Price to Book (2010 - 2025)
Nam Tai Property's (NTPIF) Price to Book came in at 1.43 for Q4 2025, down 13.6% from 1.66 a year earlier.
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Analysis
Nam Tai Property (NTPIF) Price to Book (2010 - 2025) Analysis & Trends
Since Q4 2010, Nam Tai Property has reported Price to Book for 16 quarters.
- In prior years, Nam Tai Property's Price to Book was 1.66 in FY2024 (-25.7%), 2.23 in FY2023 (+458.1%), 0.40 in FY2022 (-79.6%) and 1.96 in FY2021 (+112.5%).
- The Q4 2025 figure stands as the lowest quarterly Price to Book since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.04 Bn | 21.87 Bn | - |
| 2 | St Joe | 3.99 Bn | 3.48 Bn | 73.42 Mn |
| 3 | Millrose Properties | 3.96 Bn | 3.60 Bn | - |
| 4 | Opendoor Technologies | 1.93 Bn | -1.89 Bn | 86.00 Mn |
| 5 | Forestar | 1.34 Bn | -11.96 Mn | 84.10 Mn |
| 6 | Five Point Holdings | 673.73 Mn | -783.89 Mn | -23.72 Mn |
| 7 | Tejon Ranch | 449.62 Mn | 369.24 Mn | - |
| 8 | Nam Tai Property | 260.36 Mn | 78.98 Mn | - |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 |
| 10 | Star Holdings | 91.57 Mn | -80.29 Mn | 5.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.43 |
| Dec 31, 2024 | 1.66 |
| Dec 31, 2023 | 2.23 |
| Dec 31, 2022 | 0.40 |
| Dec 31, 2021 | 1.96 |
| Dec 31, 2020 | 0.92 |
| Dec 31, 2019 | 1.55 |
| Dec 31, 2018 | 1.45 |
| Dec 31, 2017 | 1.93 |
| Dec 31, 2016 | 1.14 |
| Dec 31, 2015 | 0.80 |
| Dec 31, 2014 | 0.64 |
| Dec 31, 2013 | 0.89 |
| Dec 31, 2012 | 1.71 |
| Dec 31, 2011 | 0.74 |
| Dec 31, 2010 | 0.86 |
API Access
Nam Tai Property 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=NTPIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "NTPIF", "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=NTPIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();