SKYX Platforms (SKYX) Total Liabilities (2013 - 2026)
SKYX Platforms (SKYX) posted Total Liabilities of $59.12 million for Q1 2026, down 7.5% from $63.89 million a year earlier and down 5.1% from the prior quarter.
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Analysis
SKYX Platforms (SKYX) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, SKYX Platforms' Total Liabilities came in at $62.3 million, up 0.8% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 42.0% (FY2021 to FY2025).
- In prior years, SKYX Platforms' Total Liabilities was $61.83 million in FY2024 (+2.9%), $60.12 million in FY2023 (+70.5%), $35.27 million in FY2022 (+129.9%) and $15.34 million in FY2021.
- The Q1 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2023.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 1.3%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 176.8%; the weakest was Q1 2026, with a decline of 7.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $62.3 million (Q4 2025), $62.25 million (Q3 2025) and $63.75 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 23.70 Bn |
| 10 | SKYX Platforms | 150.84 Mn | 91.85 Mn | 6.63 Mn | 59.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 59.12 Mn |
| Dec 31, 2025 | 62.30 Mn |
| Sep 30, 2025 | 62.25 Mn |
| Jun 30, 2025 | 63.75 Mn |
| Mar 31, 2025 | 63.89 Mn |
| Dec 31, 2024 | 61.83 Mn |
| Sep 30, 2024 | 61.14 Mn |
| Jun 30, 2024 | 59.68 Mn |
| Mar 31, 2024 | 60.69 Mn |
| Dec 31, 2023 | 60.12 Mn |
| Sep 30, 2023 | 61.29 Mn |
| Jun 30, 2023 | 59.40 Mn |
| Mar 31, 2023 | 40.66 Mn |
| Dec 31, 2022 | 35.27 Mn |
| Sep 30, 2022 | 35.49 Mn |
| Jun 30, 2022 | 21.46 Mn |
| Mar 31, 2022 | 22.80 Mn |
| Dec 31, 2021 | 15.34 Mn |
| Sep 30, 2018 | 75.60 Mn |
| Jun 30, 2018 | 83.40 Mn |
API Access
SKYX Platforms Total 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-liabilities&ticker=SKYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SKYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();