SKYX Platforms (SKYX) Depreciation and Depletion (2013 - 2026)
SKYX Platforms' Depreciation and Depletion came in at $190,375 for Q1 2026, up 169.0% from $70,762 a year earlier and up 669.3% from the prior quarter.
SKYX Platforms (SKYX) Depreciation and Depletion (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, SKYX Platforms reported Depreciation and Depletion of $357,801, up 229.8% year-over-year; for FY2025, it came in at $238,188, up 250.2% from FY2024.
- Depreciation and Depletion carries a four-year compound annual growth rate of 54.3% (FY2021 to FY2025).
- Going back by year, Depreciation and Depletion was $68,022 in FY2024 (-27.4%), $93,693 in FY2023 (+32.4%), $70,767 in FY2022 (+68.4%) and $42,025 in FY2021.
- The Q1 2026 figure represents the highest quarterly Depreciation and Depletion since Q2 2024.
- Year-over-year, Depreciation and Depletion increased in three of the last four quarters, with growth averaging 212.3%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q2 2024 (growth of 626.5%), and the weakest in Q3 2023 (a decline of 85.3%).
- Business Quant data shows SKYX's Depreciation and Depletion at $24,747 (Q4 2025), $80,309 (Q3 2025) and $62,370 (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.87 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 339.00 Mn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | - |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | - |
| 10 | SKYX Platforms | 152.18 Mn | 93.18 Mn | 6.63 Mn | 190,375.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 190,375.00 |
| Dec 31, 2025 | 24,747.00 |
| Sep 30, 2025 | 80,309.00 |
| Jun 30, 2025 | 62,370.00 |
| Mar 31, 2025 | 70,762.00 |
| Dec 31, 2024 | -64,581.00 |
| Sep 30, 2024 | -205,416.00 |
| Jun 30, 2024 | 307,714.00 |
| Mar 31, 2024 | 30,305.00 |
| Dec 31, 2023 | 25,796.00 |
| Sep 30, 2023 | 3,403.00 |
| Jun 30, 2023 | 42,353.00 |
| Mar 31, 2023 | 22,141.00 |
| Dec 31, 2022 | 38,119.00 |
| Sep 30, 2022 | 23,143.00 |
| Jun 30, 2022 | 12,693.00 |
| Mar 31, 2022 | 9,505.00 |
| Dec 31, 2021 | 9,377.00 |
| Sep 30, 2021 | 10,144.00 |
| Jun 30, 2021 | 10,331.00 |
SKYX Platforms 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=SKYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "SKYX", "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=SKYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();