Big Tree Cloud Holdings (DSY) Operating Leases (2023 - 2025)
Big Tree Cloud Holdings' Operating Leases came in at $726,311 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 28.4% from $1.01 million a year earlier.
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Analysis
Big Tree Cloud Holdings (DSY) Operating Leases (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Big Tree Cloud Holdings' Operating Leases was $838,982, up 150.3% from FY2024.
- Going back by fiscal year, Operating Leases was $335,241 in FY2024 (-33.0%) and $500,262 in FY2023.
- The fiscal Q2 2026 figure represents the lowest quarterly Operating Leases since fiscal Q4 2024.
- Year-over-year, Operating Leases increased in two of the last four quarters, with growth averaging 143.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Big Tree Cloud Holdings | 15.61 Mn | 7.28 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 726,311.00 |
| Jun 30, 2025 | 838,982.00 |
| Dec 31, 2024 | 1.01 Mn |
| Jun 30, 2024 | 335,241.00 |
| Dec 31, 2023 | 173,749.00 |
| Jun 30, 2023 | 500,262.00 |
API Access
Big Tree Cloud Holdings Operating Leases 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=operating-leases&ticker=DSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();