Plastec Technologies (PLTYF) Accumulated Expenses (2011 - 2025)
Plastec Technologies (PLTYF) reported Accumulated Expenses of $81,003 for Q4 2025, up 17.1% from $69,203 a year earlier.
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Analysis
Plastec Technologies (PLTYF) Accumulated Expenses (2011 - 2025) Analysis & Trends
At the end of FY2025, Plastec Technologies posted Accumulated Expenses of $80,814, up 17.2% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -16.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $68,951 in FY2024 (-54.0%), $149,836 in FY2023 (+51.4%), $98,977 in FY2022 (-31.3%) and $144,099 in FY2021 (-28.8%).
- The Q4 2025 figure ranks as the highest quarterly Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 178.19 Bn | 124.32 Bn | - |
| 2 | Spdr Gold Trust | 137.10 Bn | -420.90 Bn | - |
| 3 | Blackstone | 87.94 Bn | 77.92 Bn | - |
| 4 | Brookfield | 84.29 Bn | -99.03 Bn | - |
| 5 | Kkr | 80.45 Bn | 600.79 Mn | - |
| 6 | Brookfield Asset Management | 73.60 Bn | 68.41 Bn | - |
| 7 | Apollo Global Management | 66.12 Bn | -16.68 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 59.86 Bn | 55.29 Bn | 687.86 Mn |
| 9 | Franco Nevada | 46.95 Bn | 44.31 Bn | 451.00 Mn |
| 10 | Plastec Technologies | 258,762.55 | -28.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 80,969.99 |
| Dec 31, 2024 | 69,298.64 |
| Dec 31, 2023 | 150,157.45 |
| Dec 31, 2022 | 99,430.36 |
| Dec 31, 2021 | 143,634.68 |
| Dec 31, 2020 | 202,394.68 |
| Dec 31, 2019 | 172,185.78 |
| Dec 31, 2018 | 99,094.61 |
| Dec 31, 2017 | 566,855.98 |
| Dec 31, 2016 | 791,489.34 |
| Dec 31, 2015 | 1.35 Mn |
| Dec 31, 2014 | 13.35 Mn |
| Dec 31, 2013 | 15.04 Mn |
| Dec 31, 2012 | 14.93 Mn |
| Apr 30, 2011 | 297,062.82 |
API Access
Plastec Technologies Accumulated Expenses 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=accumulated-expenses&ticker=PLTYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PLTYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();