Sino Green Land (SGLA) Depreciation and Depletion (2023 - 2026)
Sino Green Land (SGLA) posted Depreciation and Depletion of $120,307 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.3% from $115,398 a year earlier and up 3.2% from the prior quarter.
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Analysis
Sino Green Land (SGLA) Depreciation and Depletion (2023 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Sino Green Land's Depreciation and Depletion came in at $451,176, up 11.5% from FY2025.
- Annual Depreciation and Depletion has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 20.1% (FY2023 to FY2026).
- In prior fiscal years, Sino Green Land's Depreciation and Depletion was $404,759 in FY2025 (+26.7%), $319,369 in FY2024 (+22.8%) and $260,173 in FY2023.
- The fiscal Q4 2026 figure stands as the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2024.
- On a year-over-year basis, Depreciation and Depletion increased in seven of the last eight quarters, with growth averaging 23.4%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q2 2025, with growth of 97.1%; the weakest was fiscal Q2 2026, with a decline of 7.4%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $116,524 (Q3 2026), $109,131 (Q2 2026) and $105,214 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | - |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 47.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | - |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 108.00 Mn |
| 10 | Sino Green Land | 113.47 Mn | 112.96 Mn | -447,512.00 | 120,307.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120,307.00 |
| Mar 31, 2026 | 116,524.00 |
| Dec 31, 2025 | 109,131.00 |
| Sep 30, 2025 | 105,214.00 |
| Jun 30, 2025 | 115,398.00 |
| Mar 31, 2025 | 82,553.00 |
| Dec 31, 2024 | 117,811.00 |
| Sep 30, 2024 | 88,997.00 |
| Jun 30, 2024 | 107,234.00 |
| Mar 31, 2024 | 79,832.00 |
| Dec 31, 2023 | 59,773.00 |
| Sep 30, 2023 | 72,530.00 |
API Access
Sino Green Land Depreciation and Depletion 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=depreciation-and-depletion&ticker=SGLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SGLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();