Big Tree Cloud Holdings (DSY) Total Non-Current Liabilities (2023 - 2026)
Big Tree Cloud Holdings (DSY) posted Total Non-Current Liabilities of $3.32 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 48.8% from $6.48 million a year earlier.
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Analysis
Big Tree Cloud Holdings (DSY) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
Since fiscal Q4 2023, Big Tree Cloud Holdings has reported Total Non-Current Liabilities for 7 quarters.
- Annual Total Non-Current Liabilities shows a three-year compound annual growth rate of -14.3% (FY2023 to FY2026).
- In prior fiscal years, Big Tree Cloud Holdings' Total Non-Current Liabilities was $6.48 million in FY2025 (+0.1%), $6.47 million in FY2024 (+22.9%) and $5.27 million in FY2023.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last four quarters, with an average decline of 6.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 72.84 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 14.09 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 9.67 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 15.94 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 13.53 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 4.53 Bn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 7.30 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 1.27 Bn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 2.65 Bn |
| 10 | Big Tree Cloud Holdings | 12.83 Mn | 2.07 Mn | - | 3.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.32 Mn |
| Dec 31, 2025 | 4.31 Mn |
| Jun 30, 2025 | 6.48 Mn |
| Dec 31, 2024 | 5.93 Mn |
| Jun 30, 2024 | 6.47 Mn |
| Dec 31, 2023 | 3.97 Mn |
| Jun 30, 2023 | 5.27 Mn |
API Access
Big Tree Cloud Holdings Total Non-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-non-current-liabilities&ticker=DSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=DSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();