Big Tree Cloud Holdings (DSY) Non-Current Assets (2023 - 2025)
Big Tree Cloud Holdings' Non-Current Assets was $6.46 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 5.0% from $6.15 million a year earlier.
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Analysis
Big Tree Cloud Holdings (DSY) Non-Current Assets (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Non-Current Assets at Big Tree Cloud Holdings came in at $7.14 million, up 1.9% from FY2024.
- In earlier fiscal years, Non-Current Assets was $7.01 million in FY2024 (+20.4%) and $5.82 million in FY2023.
- Quarterly Non-Current Assets has moved between $5.82 million (fiscal Q4 2023) and $7.14 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Non-Current Assets was higher in three of the last four quarters, with growth averaging 5.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 100.31 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 10.48 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 20.84 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 12.15 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 12.20 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 7.58 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 5.97 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 1.60 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 3.89 Bn |
| 10 | Big Tree Cloud Holdings | 15.61 Mn | 7.28 Mn | - | 6.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.46 Mn |
| Jun 30, 2025 | 7.14 Mn |
| Dec 31, 2024 | 6.15 Mn |
| Jun 30, 2024 | 7.01 Mn |
| Dec 31, 2023 | 6.53 Mn |
| Jun 30, 2023 | 5.82 Mn |
API Access
Big Tree Cloud Holdings Non-Current Assets 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=non-current-assets&ticker=DSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();