Sino Green Land Corp. (SGLA) Operating Expenses (2021 - 2026)
Sino Green Land's Operating Expenses came in at $201,005 for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 186.0% from $70,271 a year earlier and up 80.3% from the prior quarter.
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Analysis
Sino Green Land Corp. (SGLA) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Sino Green Land reported Operating Expenses of $625,530, up 41.6% year-over-year; for FY2025 (ended Jun 30, 2025), it was $436,949, down 32.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 61.8% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $643,767 in FY2024 (-0.1%), $644,490 in FY2023, $248,249 in FY2022 (+72.4%) and $143,983 in FY2021 (+266.0%).
- The fiscal Q3 2026 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q1 2024.
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 16.2% over the last seven quarters.
- Business Quant data shows SGLA's Operating Expenses at $111,453 (Q2 2026), $120,406 (Q1 2026) and $192,666 (Q4 2025) in the three fiscal quarters before Q3 2026.
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Peer Comparison
Historic Data
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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 |
API Access
Sino Green Land Corp. 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();