Big Tree Cloud Holdings (DSY) Total Non-Current Liabilities (2023 - 2025)
Big Tree Cloud Holdings (DSY) posted Total Non-Current Liabilities of $4.31 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 27.4% from $5.93 million a year earlier.
Big Tree Cloud Holdings (DSY) Total Non-Current Liabilities (2023 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Big Tree Cloud Holdings' Total Non-Current Liabilities came in at $6.48 million, up 0.1% from FY2024.
- In prior fiscal years, Big Tree Cloud Holdings' Total Non-Current Liabilities was $6.47 million in FY2024 (+22.9%) and $5.27 million in FY2023.
- The fiscal Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in three of the last four quarters, with growth averaging 11.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 15.61 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 9.73 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Big Tree Cloud Holdings | 15.61 Mn | 7.28 Mn | - | 4.31 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
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_KEY
import 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();