SKYX Platforms (SKYX) Total Non-Current Liabilities (2013 - 2026)
SKYX Platforms (SKYX) reported Total Non-Current Liabilities of $32.54 million for Q1 2026, up 7.4% from $30.31 million a year earlier but down 0.6% from the prior quarter.
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Analysis
SKYX Platforms (SKYX) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, SKYX Platforms posted Total Non-Current Liabilities of $32.73 million, up 6.6% from FY2024.
- Total Non-Current Liabilities has a four-year compound annual growth rate of 36.5% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $30.7 million in FY2024 (-14.6%), $35.93 million in FY2023 (+30.0%), $27.63 million in FY2022 (+192.9%) and $9.43 million in FY2021.
- Five-year quarterly Total Non-Current Liabilities spans a low of $8.43 million in Q1 2022 and a high of $36.36 million in Q1 2024.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 0.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2023 (growth of 284.4%); the low point was Q1 2025 (a decline of 16.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $32.73 million (Q4 2025), $32.09 million (Q3 2025) and $29.71 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,717.88 Bn | 2,234.58 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 320.61 Bn | 313.86 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 161.75 Bn | 139.29 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 113.11 Bn | 106.07 Bn | 8.58 Bn | 62.52 Bn |
| 5 | O Reilly Automotive | 74.69 Bn | 73.78 Bn | 2.52 Bn | 18.95 Bn |
| 6 | Ross Stores | 74.45 Bn | 57.38 Bn | 2.12 Bn | 8.94 Bn |
| 7 | Target | 70.00 Bn | 64.59 Bn | 8.94 Bn | 22.21 Bn |
| 8 | Autozone | 52.70 Bn | 51.60 Bn | 2.52 Bn | 22.81 Bn |
| 9 | Carvana | 42.38 Bn | 32.87 Bn | 1.38 Bn | 5.05 Bn |
| 10 | SKYX Platforms | 114.85 Mn | 114.85 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 32.54 Mn |
| Dec 31, 2025 | 32.73 Mn |
| Sep 30, 2025 | 32.09 Mn |
| Jun 30, 2025 | 29.71 Mn |
| Mar 31, 2025 | 30.31 Mn |
| Dec 31, 2024 | 30.70 Mn |
| Sep 30, 2024 | 30.38 Mn |
| Jun 30, 2024 | 31.59 Mn |
| Mar 31, 2024 | 36.36 Mn |
| Dec 31, 2023 | 35.93 Mn |
| Sep 30, 2023 | 29.95 Mn |
| Jun 30, 2023 | 26.92 Mn |
| Mar 31, 2023 | 32.39 Mn |
| Dec 31, 2022 | 27.63 Mn |
| Sep 30, 2022 | 29.76 Mn |
| Jun 30, 2022 | 8.79 Mn |
| Mar 31, 2022 | 8.43 Mn |
| Dec 31, 2021 | 9.43 Mn |
| Sep 30, 2018 | 4.00 Mn |
| Jun 30, 2018 | 63.16 Mn |
API Access
SKYX Platforms Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SKYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SKYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();