Sino Green Land (SGLA) Selling, General & Administrative (2022 - 2026)
Sino Green Land (SGLA) posted Selling, General & Administrative of $129,960 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 32.5% from $192,666 a year earlier and down 35.3% from the prior quarter.
Sino Green Land (SGLA) Selling, General & Administrative (2022 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Sino Green Land's Selling, General & Administrative came in at $569,782, up 30.4% from FY2025.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 31.7% (FY2021 to FY2026).
- In prior fiscal years, Sino Green Land's Selling, General & Administrative was $436,949 in FY2025 (-32.1%), $643,767 in FY2024 (-0.1%), $644,490 in FY2023 and $35,659 in FY2022 (-75.2%).
- Quarterly Selling, General & Administrative has run from a low of $68,311 in fiscal Q2 2025 to a high of $201,005 in fiscal Q3 2026 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in three of the last eight quarters, with growth averaging 10.1%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was fiscal Q3 2026, with growth of 186.0%; the weakest was fiscal Q2 2025, with a decline of 59.5%.
- According to Business Quant data, Selling, General & Administrative for the three prior fiscal quarters was $201,005 (Q3 2026), $111,453 (Q2 2026) and $120,406 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 200.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 95.70 Mn |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 931.00 Mn |
| 10 | Sino Green Land | 113.47 Mn | 112.96 Mn | -447,512.00 | 129,960.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129,960.00 |
| Mar 31, 2026 | 201,005.00 |
| Dec 31, 2025 | 111,453.00 |
| Sep 30, 2025 | 120,406.00 |
| Jun 30, 2025 | 192,666.00 |
| Mar 31, 2025 | 70,271.00 |
| Dec 31, 2024 | 68,311.00 |
| Sep 30, 2024 | 106,963.00 |
| Jun 30, 2024 | 196,323.00 |
| Mar 31, 2024 | 132,377.00 |
| Dec 31, 2023 | 168,773.00 |
| Sep 30, 2023 | 178,132.00 |
| Mar 31, 2023 | 245,166.00 |
| Dec 31, 2022 | 158,946.00 |
| Sep 30, 2022 | 6,574.00 |
| Mar 31, 2022 | 3,207.00 |
Sino Green Land Selling, General & Administrative 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=selling-general-and-administrative&ticker=SGLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();