Sino Green Land (SGLA) Exchange Rate Effect (2023 - 2026)
Sino Green Land (SGLA) posted Exchange Rate Effect of $30,193 for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$127,127 a year earlier and up 23.3% from the prior quarter.
Sino Green Land (SGLA) Exchange Rate Effect (2023 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Sino Green Land's Exchange Rate Effect came in at -$41,862.
- In prior fiscal years, Sino Green Land's Exchange Rate Effect was -$143,655 in FY2025, $49,058 in FY2024 and -$45,631 in FY2023.
- The fiscal Q4 2026 figure stands as the highest quarterly Exchange Rate Effect since fiscal Q2 2025.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was $24,496 (Q3 2026), -$114,723 (Q2 2026) and $18,172 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 237.34 Bn | 219.48 Bn | 4.44 Bn | 4.00 Mn |
| 2 | Corning | 91.51 Bn | 83.19 Bn | 1.81 Bn | - |
| 3 | Sherwin Williams | 82.84 Bn | 81.86 Bn | 3.28 Bn | -4.10 Mn |
| 4 | Air Products & Chemicals | 67.86 Bn | 63.04 Bn | 1.04 Bn | 2.30 Mn |
| 5 | LyondellBasell Industries | 39.28 Bn | 27.35 Bn | 1.50 Bn | -4.00 Mn |
| 6 | Nutrien | 34.70 Bn | 31.24 Bn | 1.86 Bn | 6.00 Mn |
| 7 | Ppg Industries | 27.22 Bn | 20.14 Bn | 1.76 Bn | 23.00 Mn |
| 8 | Qnity Electronics | 24.45 Bn | 20.59 Bn | 743.00 Mn | 20.00 Mn |
| 9 | Ati | 23.85 Bn | 21.81 Bn | 380.20 Mn | 1.60 Mn |
| 10 | Sino Green Land | 84.29 Mn | 83.78 Mn | -447,512.00 | 30,193.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30,193.00 |
| Mar 31, 2026 | 24,496.00 |
| Dec 31, 2025 | -114,723.00 |
| Sep 30, 2025 | 18,172.00 |
| Jun 30, 2025 | -127,127.00 |
| Mar 31, 2025 | 24,035.00 |
| Dec 31, 2024 | 163,052.00 |
| Sep 30, 2024 | -203,615.00 |
| Jun 30, 2024 | 9,806.00 |
| Mar 31, 2024 | 25,967.00 |
| Dec 31, 2023 | -1,152.00 |
| Sep 30, 2023 | 14,437.00 |
Sino Green Land Exchange Rate Effect 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=exchange-rate-effect&ticker=SGLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();