SkyAI (SKYA) Capital Expenditures (2021 - 2025)
SkyAI (SKYA) reported Capital Expenditures of $184.14 million for Q3 2025, compared with $50,304 a year earlier.
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Analysis
SkyAI (SKYA) Capital Expenditures (2021 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, SkyAI's Capital Expenditures came in at $184.43 million; for FY2024, it was $138,804, down 80.1% from FY2023.
- Capital Expenditures has a three-year compound annual growth rate of -60.3% (FY2021 to FY2024).
- By year, Capital Expenditures came in at $698,277 in FY2023 (+28.7%), $542,662 in FY2022 (-75.6%) and $2.22 million in FY2021.
- The Q3 2025 figure ranks as the highest quarterly Capital Expenditures in data going back to Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 143.00 Mn |
| 10 | SkyAI | 139.86 Mn | 98.56 Mn | -284,228.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 184.14 Mn |
| Dec 31, 2024 | 69,145.00 |
| Sep 30, 2024 | 50,304.00 |
| Mar 31, 2023 | 163,272.00 |
| Dec 31, 2022 | -1.82 Mn |
| Sep 30, 2022 | 1.90 Mn |
| Dec 31, 2021 | 1.38 Mn |
| Sep 30, 2021 | -626,710.00 |
| Jun 30, 2021 | 623,250.00 |
| Mar 31, 2021 | 850,000.00 |
API Access
SkyAI Capital Expenditures 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=capital-expenditures&ticker=SKYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "SKYA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=SKYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();