Sight Sciences (SGHT) Operating Leases (2023 - 2026)
Sight Sciences' Operating Leases came in at $804,000 for Q2 2026, up 339.3% from $183,000 a year earlier but down 7.6% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2024, Sight Sciences' Operating Leases was $473,000, down 48.2% from FY2023.
- Going back by year, Operating Leases was $914,000 in FY2023.
- The five-year range for quarterly Operating Leases is $47,000 (Q3 2025) to $914,000 (Q4 2023).
- Year-over-year, Operating Leases increased in two of the last five quarters, with growth averaging 57.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Sight Sciences | 511.60 Mn | 162.54 Mn | 21.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 804,000.00 |
| Mar 31, 2026 | 870,000.00 |
| Sep 30, 2025 | 47,000.00 |
| Jun 30, 2025 | 183,000.00 |
| Mar 31, 2025 | 328,000.00 |
| Dec 31, 2024 | 473,000.00 |
| Sep 30, 2024 | 614,000.00 |
| Jun 30, 2024 | 747,000.00 |
| Dec 31, 2023 | 914,000.00 |
API Access
Sight Sciences 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=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "SGHT", "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=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();