Sino Green Land (SGLA) Total Liabilities (2020 - 2026)
Sino Green Land's Total Liabilities was $7.09 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.9% from $6.83 million a year earlier but down 9.3% from the prior quarter.
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Analysis
Sino Green Land (SGLA) Total Liabilities (2020 - 2026) Analysis & Trends
From fiscal Q4 2023 onward, Sino Green Land has reported Total Liabilities for 12 quarters.
- Total Liabilities has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 36.7% (FY2023 to FY2026).
- In earlier fiscal years, Total Liabilities was $6.83 million in FY2025 (+24.6%), $5.48 million in FY2024 (+97.4%) and $2.78 million in FY2023.
- Quarterly Total Liabilities has moved between $2.78 million (fiscal Q4 2023) and $7.84 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for seven straight quarters, with growth averaging 19.9% over the last seven quarters.
- The year-over-year growth in Total Liabilities has ranged between 3.9% (fiscal Q4 2026) and 97.4% (fiscal Q4 2024) over the last five years.
- Per Business Quant data, SGLA's Total Liabilities in the three fiscal quarters before Q4 2026 was $7.82 million (Q3 2026), $7.84 million (Q2 2026) and $7.22 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 237.34 Bn | 219.48 Bn | 4.44 Bn | 47.09 Bn |
| 2 | Corning | 91.51 Bn | 83.19 Bn | 1.81 Bn | 19.84 Bn |
| 3 | Sherwin Williams | 82.84 Bn | 81.86 Bn | 3.28 Bn | 22.98 Bn |
| 4 | Air Products & Chemicals | 67.86 Bn | 63.04 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 39.28 Bn | 27.35 Bn | 1.50 Bn | 23.49 Bn |
| 6 | Nutrien | 34.70 Bn | 31.24 Bn | 1.86 Bn | 26.93 Bn |
| 7 | Ppg Industries | 27.22 Bn | 20.14 Bn | 1.76 Bn | 13.95 Bn |
| 8 | Qnity Electronics | 24.45 Bn | 20.59 Bn | 743.00 Mn | 6.83 Bn |
| 9 | Ati | 23.85 Bn | 21.81 Bn | 380.20 Mn | 3.43 Bn |
| 10 | Sino Green Land | 84.29 Mn | 83.78 Mn | -447,512.00 | 7.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.09 Mn |
| Mar 31, 2026 | 7.82 Mn |
| Dec 31, 2025 | 7.84 Mn |
| Sep 30, 2025 | 7.22 Mn |
| Jun 30, 2025 | 6.83 Mn |
| Mar 31, 2025 | 6.17 Mn |
| Dec 31, 2024 | 5.94 Mn |
| Sep 30, 2024 | 6.39 Mn |
| Jun 30, 2024 | 5.48 Mn |
| Mar 31, 2024 | 5.27 Mn |
| Dec 31, 2023 | 4.88 Mn |
| Sep 30, 2023 | 278,908.00 |
| Jun 30, 2023 | 2.78 Mn |
| Mar 31, 2023 | 249,724.00 |
| Dec 31, 2022 | 222,658.00 |
| Sep 30, 2022 | 845,035.00 |
| Jun 30, 2022 | 758,844.00 |
| Mar 31, 2022 | 190,754.00 |
| Dec 31, 2021 | 186,999.00 |
| Sep 30, 2021 | 145,436.00 |
API Access
Sino Green Land Total 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-liabilities&ticker=SGLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SGLA", "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-liabilities&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();