Big Tree Cloud Holdings (DSY) Market Capitalization (2023 - 2026)
Big Tree Cloud Holdings (DSY) posted Market Capitalization of $12.46 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 90.1% from $126.11 million a year earlier.
Big Tree Cloud Holdings (DSY) Market Capitalization (2023 - 2026) Analysis & Trends
Since fiscal Q4 2023, Big Tree Cloud Holdings has reported Market Capitalization for 7 quarters.
- Annual Market Capitalization shows a three-year compound annual growth rate of -71.2% (FY2023 to FY2026).
- In prior fiscal years, Big Tree Cloud Holdings' Market Capitalization was $126.11 million in FY2025 (+30.7%), $96.47 million in FY2024 (-81.4%) and $519.25 million in FY2023.
- On a year-over-year basis, Market Capitalization increased in 1 of the last four quarters, with an average decline of 53.1%.
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 | 12.46 Mn |
| Dec 31, 2025 | 23.74 Mn |
| Jun 30, 2025 | 126.11 Mn |
| Dec 31, 2024 | 179.80 Mn |
| Jun 30, 2024 | 96.47 Mn |
| Dec 31, 2023 | 532.00 Mn |
| Jun 30, 2023 | 519.25 Mn |
Big Tree Cloud Holdings Market Capitalization 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=market-capitalization&ticker=DSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();