Sino Green Land (SGLA) Return on Sales [ROS] (2022 - 2026)
Sino Green Land's Return on Sales [ROS] was -159.76% in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 53.74 percentage points from -106.02% a year earlier and down 76.13 percentage points from the prior quarter.
Sino Green Land (SGLA) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Sales [ROS] at Sino Green Land came in at -85.81%, up 40.60 percentage points from FY2025.
- Return on Sales [ROS] shows a three-year change of +80.77 percentage points (FY2023 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -126.41% in FY2025 (-91.97 pp), -34.44% in FY2024 (+132.14 pp) and -166.58% in FY2023.
- The fiscal Q4 2026 figure marks the lowest quarterly Return on Sales [ROS] since fiscal Q3 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -24.11 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2026 (a gain of 208.32 percentage points); the worst was fiscal Q2 2025 (a drop of 220.34 percentage points).
- Per Business Quant data, SGLA's Return on Sales [ROS] in the three fiscal quarters before Q4 2026 was -83.62% (Q3 2026), -72.29% (Q2 2026) and -35.05% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | Sino Green Land | 113.47 Mn | 112.96 Mn | -447,512.00 | -159.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -159.76% |
| Mar 31, 2026 | -83.62% |
| Dec 31, 2025 | -72.29% |
| Sep 30, 2025 | -35.05% |
| Jun 30, 2025 | -106.02% |
| Mar 31, 2025 | -229.98% |
| Dec 31, 2024 | -280.61% |
| Sep 30, 2024 | -67.24% |
| Jun 30, 2024 | 25.02% |
| Mar 31, 2024 | -53.76% |
| Dec 31, 2023 | -60.27% |
| Sep 30, 2023 | -68.84% |
| Mar 31, 2023 | -353.54% |
| Dec 31, 2022 | -355.04% |
Sino Green Land Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SGLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();