Sino Green Land (SGLA) Receivables - Net (2023 - 2026)
Sino Green Land's Receivables - Net came in at $12,751 for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 31.5% from $18,605 a year earlier but up 10.5% from the prior quarter.
Sino Green Land (SGLA) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Sino Green Land's Receivables - Net was $19,035, down 75.2% from FY2024.
- Going back by fiscal year, Receivables - Net was $76,738 in FY2024 (+45.3%) and $52,796 in FY2023.
- The five-year range for quarterly Receivables - Net is $11,535 (fiscal Q2 2026) to $139,086 (fiscal Q1 2025).
- Year-over-year, Receivables - Net has declined for six consecutive quarters, with an average decline of 39.5% over the last seven quarters.
- Business Quant data shows SGLA's Receivables - Net at $11,535 (Q2 2026), $56,190 (Q1 2026) and $19,035 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn |
| 10 | Sino Green Land | 84.29 Mn | 83.78 Mn | -447,512.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82,850.00 |
| Mar 31, 2026 | 12,751.00 |
| Dec 31, 2025 | 11,535.00 |
| Sep 30, 2025 | 56,190.00 |
| Jun 30, 2025 | 19,035.00 |
| Mar 31, 2025 | 18,605.00 |
| Dec 31, 2024 | 27,617.00 |
| Sep 30, 2024 | 139,086.00 |
| Jun 30, 2024 | 76,738.00 |
| Mar 31, 2024 | 75,020.00 |
| Dec 31, 2023 | 35,432.00 |
| Jun 30, 2023 | 52,796.00 |
Sino Green Land Receivables - Net 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=receivables-net&ticker=SGLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();