Sino Green Land (SGLA) Operating Expenses (2021 - 2026)
Sino Green Land's Operating Expenses came in at $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.
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Analysis
Sino Green Land (SGLA) Operating Expenses (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Sino Green Land's Operating Expenses was $569,782, up 30.4% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 31.7% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $436,949 in FY2025 (-32.1%), $643,767 in FY2024 (-0.1%), $644,490 in FY2023 and $35,659 in FY2022 (-75.2%).
- The five-year range for quarterly Operating Expenses is $68,311 (fiscal Q2 2025) to $201,005 (fiscal Q3 2026).
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with growth averaging 10.1%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2026 (growth of 186.0%), and the weakest in fiscal Q2 2025 (a decline of 59.5%).
- Business Quant data shows SGLA's Operating Expenses at $201,005 (Q3 2026), $111,453 (Q2 2026) and $120,406 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 237.34 Bn | 219.48 Bn | 4.44 Bn | 1.35 Bn |
| 2 | Corning | 91.51 Bn | 83.19 Bn | 1.81 Bn | 877.00 Mn |
| 3 | Sherwin Williams | 82.84 Bn | 81.86 Bn | 3.28 Bn | 2.07 Bn |
| 4 | Air Products & Chemicals | 67.86 Bn | 63.04 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 39.28 Bn | 27.35 Bn | 1.50 Bn | 7.43 Bn |
| 6 | Nutrien | 34.70 Bn | 31.24 Bn | 1.86 Bn | 158.00 Mn |
| 7 | Ppg Industries | 27.22 Bn | 20.14 Bn | 1.76 Bn | 1.12 Bn |
| 8 | Qnity Electronics | 24.45 Bn | 20.59 Bn | 743.00 Mn | 305.00 Mn |
| 9 | Ati | 23.85 Bn | 21.81 Bn | 380.20 Mn | 108.60 Mn |
| 10 | Sino Green Land | 84.29 Mn | 83.78 Mn | -447,512.00 | 129,960.00 |
Historic Data
Download Data
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 |
| Jun 30, 2022 | 7,903.00 |
| Mar 31, 2022 | 3,207.00 |
| Sep 30, 2021 | 16,807.00 |
| Jun 30, 2021 | 82,807.00 |
| Mar 31, 2021 | 2,807.00 |
API Access
Sino Green Land Operating 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=operating-expenses&ticker=SGLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();