Sino Green Land (SGLA) EBITDA (2023 - 2026)
Sino Green Land's EBITDA was -$450,153 in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$477,207 a year earlier.
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Analysis
Sino Green Land (SGLA) EBITDA (2023 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), EBITDA at Sino Green Land came in at -$741,931.
- In earlier fiscal years, EBITDA was -$1.26 million in FY2025, -$378,809 in FY2024 and -$800,096 in FY2023.
- Quarterly EBITDA has moved between -$477,207 (fiscal Q4 2025) and $705,549 (fiscal Q1 2025) over five years.
- Per Business Quant data, SGLA's EBITDA in the three fiscal quarters before Q4 2026 was -$156,349 (Q3 2026), -$85,197 (Q2 2026) and -$44,329 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 237.34 Bn | 219.48 Bn | 4.44 Bn | 3.12 Bn |
| 2 | Corning | 91.51 Bn | 83.19 Bn | 1.81 Bn | 1.30 Bn |
| 3 | Sherwin Williams | 82.84 Bn | 81.86 Bn | 3.28 Bn | 1.40 Bn |
| 4 | Air Products & Chemicals | 67.86 Bn | 63.04 Bn | 1.04 Bn | -1.71 Bn |
| 5 | LyondellBasell Industries | 39.28 Bn | 27.35 Bn | 1.50 Bn | 1.44 Bn |
| 6 | Nutrien | 34.70 Bn | 31.24 Bn | 1.86 Bn | 2.34 Bn |
| 7 | Ppg Industries | 27.22 Bn | 20.14 Bn | 1.76 Bn | 782.00 Mn |
| 8 | Qnity Electronics | 24.45 Bn | 20.59 Bn | 743.00 Mn | 536.00 Mn |
| 9 | Ati | 23.85 Bn | 21.81 Bn | 380.20 Mn | 316.80 Mn |
| 10 | Sino Green Land | 84.29 Mn | 83.78 Mn | -447,512.00 | -450,153.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -450,153.00 |
| Mar 31, 2026 | -156,349.00 |
| Dec 31, 2025 | -85,197.00 |
| Sep 30, 2025 | -44,329.00 |
| Jun 30, 2025 | -477,207.00 |
| Mar 31, 2025 | -368,225.00 |
| Dec 31, 2024 | -225,797.00 |
| Sep 30, 2024 | 705,549.00 |
| Jun 30, 2024 | -177,050.00 |
| Mar 31, 2024 | 279,046.00 |
| Dec 31, 2023 | -157,653.00 |
| Sep 30, 2023 | -303,236.00 |
API Access
Sino Green Land EBITDA 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=ebitda&ticker=SGLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();