Big Tree Cloud Holdings (DSY) Other Accumulated Expenses (2023 - 2026)
Big Tree Cloud Holdings (DSY) reported Other Accumulated Expenses of $490,289 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.8% from $463,252 a year earlier.
Big Tree Cloud Holdings (DSY) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
Dating back to fiscal Q4 2023, Big Tree Cloud Holdings' Other Accumulated Expenses record includes 7 quarters.
- Other Accumulated Expenses has a three-year compound annual growth rate of 47.0% (FY2023 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $463,252 in FY2025 (-45.6%), $851,836 in FY2024 (+451.4%) and $154,482 in FY2023.
- Five-year quarterly Other Accumulated Expenses spans a low of $154,482 in fiscal Q4 2023 and a high of $1.07 million in fiscal Q2 2026.
- Year over year, Other Accumulated Expenses gained in three of the last four quarters, with growth averaging 25.0%.
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 | 490,289.00 |
| Dec 31, 2025 | 1.07 Mn |
| Jun 30, 2025 | 463,252.00 |
| Dec 31, 2024 | 904,242.00 |
| Jun 30, 2024 | 851,836.00 |
| Dec 31, 2023 | 407,208.00 |
| Jun 30, 2023 | 154,482.00 |
Big Tree Cloud Holdings Other Accumulated Expenses 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=other-accumulated-expenses&ticker=DSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=DSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();