SKYX Platforms (SKYX) Shares Outstanding (2013 - 2026)
SKYX Platforms (SKYX) reported Shares Outstanding of 129.44 million for Q1 2026, up 25.0% from 103.55 million a year earlier and up 19.0% from the prior quarter.
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Analysis
SKYX Platforms (SKYX) Shares Outstanding (2013 - 2026) Analysis & Trends
For FY2025, SKYX Platforms posted Shares Outstanding of 108.76 million, up 9.0% from FY2024.
- Shares Outstanding has increased for four consecutive years, with a four-year compound annual growth rate of 13.8% (FY2021 to FY2025).
- By year, Shares Outstanding came in at 99.77 million in FY2024 (+12.9%), 88.37 million in FY2023 (+11.2%), 79.49 million in FY2022 (+22.4%) and 64.94 million in FY2021.
- The Q1 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to Q3 2013.
- Year over year, Shares Outstanding has now increased in each of the last 17 quarters, with growth averaging 11.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 3.5% (Q3 2025) to 25.4% (Q3 2022).
- Per Business Quant data, the three quarters before Q1 2026 came in at 108.76 million (Q4 2025), 107.12 million (Q3 2025) and 107.12 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | SKYX Platforms | 153.51 Mn | 94.52 Mn | 6.63 Mn | 129.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 129.44 Mn |
| Dec 31, 2025 | 108.76 Mn |
| Sep 30, 2025 | 107.12 Mn |
| Jun 30, 2025 | 107.12 Mn |
| Mar 31, 2025 | 103.55 Mn |
| Dec 31, 2024 | 99.77 Mn |
| Sep 30, 2024 | 103.51 Mn |
| Jun 30, 2024 | 99.45 Mn |
| Mar 31, 2024 | 95.09 Mn |
| Dec 31, 2023 | 88.37 Mn |
| Sep 30, 2023 | 91.08 Mn |
| Jun 30, 2023 | 86.62 Mn |
| Mar 31, 2023 | 82.97 Mn |
| Dec 31, 2022 | 79.49 Mn |
| Sep 30, 2022 | 81.56 Mn |
| Jun 30, 2022 | 80.58 Mn |
| Mar 31, 2022 | 72.82 Mn |
| Dec 31, 2021 | 64.94 Mn |
| Sep 30, 2021 | 65.02 Mn |
| Jun 30, 2021 | 64.85 Mn |
API Access
SKYX Platforms Shares Outstanding 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=shares-outstanding&ticker=SKYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=SKYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();