Nam Tai Property (NTPIF) Enterprise Value (2010 - 2025)
Nam Tai Property's Enterprise Value came in at $199.05 million for Q4 2025, down 23.2% from $259.07 million a year earlier.
Analysis
Nam Tai Property (NTPIF) Enterprise Value (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Nam Tai Property's Enterprise Value data covers 16 quarters.
- Enterprise Value carries a five-year compound annual growth rate of 61.5% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $259.07 million in FY2024 (+8.9%), $237.95 million in FY2023, -$109,984 in FY2022 and $307.82 million in FY2021.
- The Q4 2025 figure represents the lowest quarterly Enterprise Value since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.76 Bn | 22.59 Bn | - |
| 2 | St Joe | 3.98 Bn | 3.47 Bn | 73.42 Mn |
| 3 | Millrose Properties | 3.82 Bn | 3.46 Bn | - |
| 4 | LandBridge | 2.22 Bn | 2.09 Bn | 65.71 Mn |
| 5 | Opendoor Technologies | 2.00 Bn | -1.82 Bn | 86.00 Mn |
| 6 | Forestar | 1.31 Bn | -39.05 Mn | 84.10 Mn |
| 7 | Five Point Holdings | 660.46 Mn | -797.16 Mn | -23.72 Mn |
| 8 | Tejon Ranch | 438.42 Mn | 358.04 Mn | - |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - |
| 10 | Global Asset Management | 215.67 Mn | 213.36 Mn | 236,261.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 199.05 Mn |
| Dec 31, 2024 | 259.07 Mn |
| Dec 31, 2023 | 237.95 Mn |
| Dec 31, 2022 | -109,984.19 |
| Dec 31, 2021 | 307.82 Mn |
| Dec 31, 2020 | 18.11 Mn |
| Dec 31, 2019 | 200.24 Mn |
| Dec 31, 2018 | 221.59 Mn |
| Dec 31, 2017 | 306.09 Mn |
| Dec 31, 2016 | 85.52 Mn |
| Dec 31, 2015 | 5.14 Mn |
| Dec 31, 2014 | -95.62 Mn |
| Dec 31, 2013 | 52.98 Mn |
| Dec 31, 2012 | 411.53 Mn |
| Dec 31, 2011 | 84.57 Mn |
| Dec 31, 2010 | 58.68 Mn |
API Access
Nam Tai Property Enterprise Value 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=enterprise-value&ticker=NTPIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=NTPIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();