SkyAI (SKYA) Operating Leases (2026)
SkyAI's Operating Leases came in at $166,999 for Q2 2026.
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Analysis
SkyAI (SKYA) Operating Leases (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn |
| 10 | SkyAI | 208.35 Mn | 167.05 Mn | -284,228.00 |
API Access
SkyAI Operating Leases 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=operating-leases&ticker=SKYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SKYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();