Alset (AEI) Depreciation and Depletion (2019 - 2026)
Alset (AEI) posted Depreciation and Depletion of $268,679 for Q2 2026, unchanged from $268,679 a year earlier and unchanged from the prior quarter.
Alset (AEI) Depreciation and Depletion (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Alset was $1.11 million, down 3.2% year-over-year; for FY2025, it was $1.2 million, down 2.4% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 118.1% (FY2020 to FY2025).
- In prior years, Alset's Depreciation and Depletion was $1.23 million in FY2024 (+0.9%), $1.22 million in FY2023 (+26.4%), $963,077 in FY2022 (+478.6%) and $166,451 in FY2021 (+584.7%).
- Quarterly Depreciation and Depletion has run from a low of $13,580 in Q1 2022 to a high of $429,257 in Q4 2022 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in two of the last eight quarters, with an average decline of 4.3%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2021, with growth of 792.7%; the weakest was Q4 2023, with a decline of 21.3%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $268,679 (Q1 2026), $257,901 (Q4 2025) and $317,099 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | 4.80 Mn |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | - |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 600,000.00 |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | - |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | - |
| 10 | Alset | 28.78 Mn | -99.88 Mn | 83,877.00 | 268,679.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 268,679.00 |
| Mar 31, 2026 | 268,679.00 |
| Dec 31, 2025 | 257,901.00 |
| Sep 30, 2025 | 317,099.00 |
| Jun 30, 2025 | 268,679.00 |
| Mar 31, 2025 | 268,679.00 |
| Dec 31, 2024 | 327,316.00 |
| Sep 30, 2024 | 284,180.00 |
| Jun 30, 2024 | 307,945.00 |
| Mar 31, 2024 | 308,695.00 |
| Dec 31, 2023 | 337,857.00 |
| Sep 30, 2023 | 272,726.00 |
| Jun 30, 2023 | 318,334.00 |
| Mar 31, 2023 | 288,100.00 |
| Dec 31, 2022 | 429,257.00 |
| Sep 30, 2022 | 184,417.00 |
| Jun 30, 2022 | 335,823.00 |
| Mar 31, 2022 | 13,580.00 |
| Dec 31, 2021 | 81,097.00 |
| Sep 30, 2021 | 51,190.00 |
Alset 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=AEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "AEI", "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=AEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();