Sino Green Land (SGLA) Capital Expenditures (2023 - 2026)
Sino Green Land's Capital Expenditures was $230,475 in FY2026 (year ended Jun 30, 2026), up 399.3% from $46,158 in FY2025.
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Analysis
Sino Green Land (SGLA) Capital Expenditures (2023 - 2026) Analysis & Trends
From FY2023 onward, Sino Green Land has reported Capital Expenditures for 4 fiscal years.
- Capital Expenditures shows a three-year compound annual growth rate of -26.7% (FY2023 to FY2026).
- Annual Capital Expenditures has moved between $46,158 (FY2025) and $876,102 (FY2024) over five years.
- Per Business Quant data, Capital Expenditures in earlier fiscal years was $46,158 in FY2025 (-94.7%), $876,102 in FY2024 (+50.0%) and $584,201 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 1.44 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 422.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 108.40 Mn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 995.70 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 270.00 Mn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | -491.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 90.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 68.60 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 113.00 Mn |
| 10 | Sino Green Land | 113.47 Mn | 112.96 Mn | -447,512.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 158,858.00 |
| Dec 31, 2025 | 23,639.00 |
| Sep 30, 2025 | 47,978.00 |
| Jun 30, 2025 | 6,553.00 |
| Mar 31, 2025 | 319.00 |
| Jun 30, 2024 | -26,819.00 |
| Mar 31, 2024 | 815,512.00 |
| Dec 31, 2023 | 45,738.00 |
| Sep 30, 2023 | 41,671.00 |
API Access
Sino Green Land Capital Expenditures 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=capital-expenditures&ticker=SGLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();