Big Tree Cloud Holdings (DSY) Total Current Liabilities (2023 - 2025)
Big Tree Cloud Holdings (DSY) recorded Total Current Liabilities of $3.38 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 35.6% from $5.25 million a year earlier.
Big Tree Cloud Holdings (DSY) Total Current Liabilities (2023 - 2025) Analysis & Trends
Starting with fiscal Q4 2023, Big Tree Cloud Holdings' Total Current Liabilities history includes 6 quarters.
- Across earlier fiscal years, Total Current Liabilities came in at $7.07 million in FY2024 (+13.6%) and $6.23 million in FY2023.
- Quarterly Total Current Liabilities has ranged from $3.38 million in fiscal Q4 2025 to $7.09 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in 1 of the last four quarters, with an average decline of 25.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 38.69 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 6.15 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 5.87 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 6.23 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 6.99 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 1.33 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 2.77 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 337.66 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 660.00 Mn |
| 10 | Big Tree Cloud Holdings | 15.61 Mn | 7.28 Mn | - | 3.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.38 Mn |
| Jun 30, 2025 | 3.38 Mn |
| Dec 31, 2024 | 5.25 Mn |
| Jun 30, 2024 | 7.07 Mn |
| Dec 31, 2023 | 7.09 Mn |
| Jun 30, 2023 | 6.23 Mn |
Big Tree Cloud Holdings Total Current Liabilities 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=total-current-liabilities&ticker=DSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();