Plastec Technologies (PLTYF) Enterprise Value (2011 - 2025)
Plastec Technologies' Enterprise Value was -$5.18 million in Q4 2025, compared with -$5.42 million a year earlier.
Analysis
Plastec Technologies (PLTYF) Enterprise Value (2011 - 2025) Analysis & Trends
For FY2025, Enterprise Value at Plastec Technologies came in at -$5.17 million.
- In earlier years, Enterprise Value was -$5.4 million in FY2024, -$12.04 million in FY2023, $14.95 million in FY2022 (-76.5%) and $63.63 million in FY2021 (+50.0%).
- The Q4 2025 figure marks the highest quarterly Enterprise Value since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 174.92 Bn | 121.05 Bn | - |
| 2 | Spdr Gold Trust | 136.71 Bn | -421.29 Bn | - |
| 3 | Blackstone | 88.22 Bn | 78.20 Bn | - |
| 4 | Brookfield | 83.92 Bn | -99.40 Bn | - |
| 5 | Kkr | 79.85 Bn | -3.72 Mn | - |
| 6 | Brookfield Asset Management | 73.42 Bn | 68.22 Bn | - |
| 7 | Apollo Global Management | 65.92 Bn | -16.87 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 59.50 Bn | 54.92 Bn | 687.86 Mn |
| 9 | Franco Nevada | 46.38 Bn | 43.74 Bn | 451.00 Mn |
| 10 | Plastec Technologies | 258,762.55 | -28.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -5.18 Mn |
| Jun 30, 2025 | -5.12 Mn |
| Dec 31, 2024 | -5.36 Mn |
| Jun 30, 2024 | -11.92 Mn |
| Dec 31, 2023 | -12.07 Mn |
| Jun 30, 2023 | -11.92 Mn |
| Dec 31, 2022 | 14.90 Mn |
| Jun 30, 2022 | 32.87 Mn |
| Dec 31, 2021 | 63.67 Mn |
| Jun 30, 2021 | 34.95 Mn |
| Dec 31, 2020 | 42.42 Mn |
| Jun 30, 2020 | 42.41 Mn |
| Dec 31, 2019 | 41.52 Mn |
| Jun 30, 2019 | 67.26 Mn |
| Dec 31, 2018 | 30.50 Mn |
| Jun 30, 2018 | 63.21 Mn |
| Dec 31, 2017 | 1.21 Mn |
| Jun 30, 2017 | 27.46 Mn |
| Dec 31, 2016 | -1.89 Mn |
| Sep 30, 2016 | -85.84 Mn |
API Access
Plastec Technologies 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=PLTYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "PLTYF", "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=PLTYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();