Big Tree Cloud Holdings (DSY) Operating Leases (2023 - 2026)
Big Tree Cloud Holdings' Operating Leases came in at $478,818 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 42.9% from $838,982 a year earlier.
Big Tree Cloud Holdings (DSY) Operating Leases (2023 - 2026) Analysis & Trends
Going back to fiscal Q4 2023, Big Tree Cloud Holdings' Operating Leases data covers 7 quarters.
- Operating Leases carries a three-year compound annual growth rate of -1.4% (FY2023 to FY2026).
- Going back by fiscal year, Operating Leases was $838,982 in FY2025 (+150.3%), $335,241 in FY2024 (-33.0%) and $500,262 in FY2023.
- The fiscal Q4 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 140.7%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn |
| 10 | Big Tree Cloud Holdings | 12.83 Mn | 2.07 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 478,818.00 |
| 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 |
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_KEY
import 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();