Sino Green Land (SGLA) Accumulated Expenses (2021 - 2026)
Sino Green Land (SGLA) recorded Accumulated Expenses of $72,617 in fiscal Q3 2026 (quarter ended Mar 31, 2026).
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Analysis
Sino Green Land (SGLA) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Sino Green Land reported Accumulated Expenses of $86,957.
- Annual Accumulated Expenses has a four-year compound annual growth rate of 34.5% (FY2021 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $55,588 in FY2023, $14,518 in FY2022 (-45.4%) and $26,602 in FY2021.
- The fiscal Q3 2026 figure is the lowest quarterly Accumulated Expenses since fiscal Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 237.34 Bn | 219.48 Bn | 4.44 Bn |
| 2 | Corning | 91.51 Bn | 83.19 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 82.84 Bn | 81.86 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 67.86 Bn | 63.04 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 39.28 Bn | 27.35 Bn | 1.50 Bn |
| 6 | Nutrien | 34.70 Bn | 31.24 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.22 Bn | 20.14 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 24.45 Bn | 20.59 Bn | 743.00 Mn |
| 9 | Ati | 23.85 Bn | 21.81 Bn | 380.20 Mn |
| 10 | Sino Green Land | 84.29 Mn | 83.78 Mn | -447,512.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 72,617.00 |
| Jun 30, 2025 | 86,957.00 |
| Mar 31, 2024 | 122,173.00 |
| Dec 31, 2023 | 123,089.00 |
| Sep 30, 2023 | 2,589.00 |
| Jun 30, 2023 | 55,588.00 |
| Mar 31, 2023 | 1,299.00 |
| Dec 31, 2022 | 14,518.00 |
| Dec 31, 2021 | 26,602.00 |
API Access
Sino Green Land Accumulated Expenses 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=accumulated-expenses&ticker=SGLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();