Sino Green Land (SGLA) Shares Outstanding (Diluted) (2020 - 2026)
Sino Green Land (SGLA) posted Shares Outstanding (Diluted) of 161.92 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.1% from 161.81 million a year earlier but down 0.1% from the prior quarter.
Sino Green Land (SGLA) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
Since fiscal Q4 2023, Sino Green Land has reported Shares Outstanding (Diluted) for 13 quarters.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -9.1% (FY2021 to FY2026).
- In prior fiscal years, Sino Green Land's Shares Outstanding (Diluted) was 161.81 million in FY2025 (unchanged), 161.81 million in FY2024 (unchanged), 161.81 million in FY2023 and 161.81 million in FY2022 (-38.0%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 161.81 million in fiscal Q4 2023 to a high of 162.09 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in two of the last eight quarters, with an average year-over-year change of 0.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 162.09 million (Q3 2026), 161.81 million (Q2 2026) and 161.81 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 237.34 Bn | 219.48 Bn | 4.44 Bn | 462.51 Mn |
| 2 | Corning | 91.51 Bn | 83.19 Bn | 1.81 Bn | 871.00 Mn |
| 3 | Sherwin Williams | 82.84 Bn | 81.86 Bn | 3.28 Bn | 242.80 Mn |
| 4 | Air Products & Chemicals | 67.86 Bn | 63.04 Bn | 1.04 Bn | 222.80 Mn |
| 5 | LyondellBasell Industries | 39.28 Bn | 27.35 Bn | 1.50 Bn | 646.00 Mn |
| 6 | Nutrien | 34.70 Bn | 31.24 Bn | 1.86 Bn | 486.52 Mn |
| 7 | Ppg Industries | 27.22 Bn | 20.14 Bn | 1.76 Bn | 223.20 Mn |
| 8 | Qnity Electronics | 24.45 Bn | 20.59 Bn | 743.00 Mn | 210.00 Mn |
| 9 | Ati | 23.85 Bn | 21.81 Bn | 380.20 Mn | 138.40 Mn |
| 10 | Sino Green Land | 84.29 Mn | 83.78 Mn | -447,512.00 | 161.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161.92 Mn |
| Mar 31, 2026 | 162.09 Mn |
| Dec 31, 2025 | 161.81 Mn |
| Sep 30, 2025 | 161.81 Mn |
| Jun 30, 2025 | 161.81 Mn |
| Mar 31, 2025 | 161.81 Mn |
| Dec 31, 2024 | 161.81 Mn |
| Sep 30, 2024 | 161.81 Mn |
| Jun 30, 2024 | 161.81 Mn |
| Mar 31, 2024 | 161.81 Mn |
| Dec 31, 2023 | 161.81 Mn |
| Sep 30, 2023 | 161.81 Mn |
| Jun 30, 2023 | 161.81 Mn |
| Mar 31, 2023 | 161.81 Mn |
| Dec 31, 2022 | 161.81 Mn |
| Sep 30, 2022 | 260.92 Mn |
| Jun 30, 2022 | 260.92 Mn |
| Mar 31, 2022 | 260.92 Mn |
| Dec 31, 2021 | 260.92 Mn |
| Sep 30, 2021 | 260.92 Mn |
Sino Green Land Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SGLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();