Sino Green Land (SGLA) Total Current Liabilities (2020 - 2026)
Sino Green Land (SGLA) reported Total Current Liabilities of $4.98 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.4% from $4.72 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Sino Green Land (SGLA) Total Current Liabilities (2020 - 2026) Analysis & Trends
Dating back to fiscal Q4 2023, Sino Green Land's Total Current Liabilities record includes 12 quarters.
- Total Current Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 92.8% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $4.72 million in FY2025 (+34.4%), $3.51 million in FY2024 (+101.5%) and $1.74 million in FY2023.
- Five-year quarterly Total Current Liabilities spans a low of $1.74 million in fiscal Q4 2023 and a high of $5.69 million in fiscal Q2 2026.
- Year over year, Total Current Liabilities has now increased in each of the last seven quarters, with growth averaging 23.5% over the last seven quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 2.8% (fiscal Q2 2025) and 101.5% (fiscal Q4 2024) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $4.91 million (Q3 2026), $5.69 million (Q2 2026) and $5.13 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 237.34 Bn | 219.48 Bn | 4.44 Bn | 15.64 Bn |
| 2 | Corning | 91.51 Bn | 83.19 Bn | 1.81 Bn | 6.59 Bn |
| 3 | Sherwin Williams | 82.84 Bn | 81.86 Bn | 3.28 Bn | 9.85 Bn |
| 4 | Air Products & Chemicals | 67.86 Bn | 63.04 Bn | 1.04 Bn | 4.58 Bn |
| 5 | LyondellBasell Industries | 39.28 Bn | 27.35 Bn | 1.50 Bn | 6.79 Bn |
| 6 | Nutrien | 34.70 Bn | 31.24 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.22 Bn | 20.14 Bn | 1.76 Bn | 5.22 Bn |
| 8 | Qnity Electronics | 24.45 Bn | 20.59 Bn | 743.00 Mn | 1.54 Bn |
| 9 | Ati | 23.85 Bn | 21.81 Bn | 380.20 Mn | 1.10 Bn |
| 10 | Sino Green Land | 84.29 Mn | 83.78 Mn | -447,512.00 | 4.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.98 Mn |
| Mar 31, 2026 | 4.91 Mn |
| Dec 31, 2025 | 5.69 Mn |
| Sep 30, 2025 | 5.13 Mn |
| Jun 30, 2025 | 4.72 Mn |
| Mar 31, 2025 | 4.15 Mn |
| Dec 31, 2024 | 3.91 Mn |
| Sep 30, 2024 | 4.15 Mn |
| Jun 30, 2024 | 3.51 Mn |
| Mar 31, 2024 | 3.09 Mn |
| Dec 31, 2023 | 3.80 Mn |
| Jun 30, 2023 | 1.74 Mn |
| Sep 30, 2022 | 205,232.00 |
| Jun 30, 2022 | 198,657.00 |
| Mar 31, 2022 | 190,754.00 |
| Dec 31, 2021 | 186,999.00 |
| Sep 30, 2021 | 145,436.00 |
| Dec 31, 2020 | 43,016.00 |
API Access
Sino Green Land 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=SGLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();