Big Tree Cloud Holdings (DSY) Property, Plant & Equipment (Net) (2023 - 2025)
Big Tree Cloud Holdings' Property, Plant & Equipment (Net) came in at $2.86 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 12.7% from $2.53 million a year earlier.
Big Tree Cloud Holdings (DSY) Property, Plant & Equipment (Net) (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Big Tree Cloud Holdings' Property, Plant & Equipment (Net) was $2.57 million, down 28.6% from FY2024.
- Going back by fiscal year, Property, Plant & Equipment (Net) was $3.6 million in FY2024 (-9.6%) and $3.98 million in FY2023.
- The fiscal Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since fiscal Q4 2024.
- Year-over-year, Property, Plant & Equipment (Net) increased in 1 of the last four quarters, with an average decline of 15.5%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 25.36 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 4.64 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.81 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 6.95 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 826.50 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 1.51 Bn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 39.69 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 855.00 Mn |
| 10 | Big Tree Cloud Holdings | 15.48 Mn | 7.15 Mn | - | 2.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.86 Mn |
| Jun 30, 2025 | 2.57 Mn |
| Dec 31, 2024 | 2.53 Mn |
| Jun 30, 2024 | 3.60 Mn |
| Dec 31, 2023 | 3.98 Mn |
| Jun 30, 2023 | 3.98 Mn |
Big Tree Cloud Holdings 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=DSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DSY", "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=DSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();