AsiaStrategy (SORA) Property, Plant & Equipment (Net) (2023 - 2025)
AsiaStrategy (SORA) recorded Property, Plant & Equipment (Net) of $4,273 in the quarter ended Dec 31, 2025, up 316.9% from $1,025 a year earlier.
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Analysis
AsiaStrategy (SORA) Property, Plant & Equipment (Net) (2023 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2023, AsiaStrategy's Property, Plant & Equipment (Net) history includes 4 quarters.
- Across earlier years, Property, Plant & Equipment (Net) came in at $1,025 in the year ended Dec 31, 2024 (-54.0%) and $2,228 in the year ended Dec 31, 2023.
- Quarterly Property, Plant & Equipment (Net) has ranged from $1,025 in the quarter ended Dec 31, 2024 to $5,154 in the quarter ended Jun 30, 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | AsiaStrategy | 55.45 Mn | 27.01 Mn | - | 4,273.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4,273.00 |
| Jun 30, 2025 | 5,154.00 |
| Dec 31, 2024 | 1,025.00 |
| Dec 31, 2023 | 2,228.00 |
API Access
AsiaStrategy Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SORA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SORA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=SORA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();