Sight Sciences (SGHT) Operating Margin (2020 - 2026)
Sight Sciences' Operating Margin came in at -16.62% for Q2 2026, up 43.01 percentage points from -59.64% a year earlier and up 46.39 percentage points from the prior quarter.
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Analysis
Sight Sciences (SGHT) Operating Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sight Sciences reported Operating Margin of -33.43%, up 30.37 percentage points year-over-year; for FY2025, it was -47.95%, up 15.32 percentage points from FY2024.
- Operating Margin has increased in each of the last three years, with a five-year change of +68.50 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was -63.27% in FY2024 (+7.39 pp), -70.66% in FY2023 (+47.04 pp), -117.70% in FY2022 (-12.54 pp) and -105.15% in FY2021 (+11.30 pp).
- The Q2 2026 figure represents the highest quarterly Operating Margin in data going back to Q2 2020.
- Year-over-year, Operating Margin has increased for four consecutive quarters, with an average year-over-year change of +15.57 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q2 2023 (a gain of 68.00 percentage points), and the weakest in Q2 2022 (a drop of 44.35 percentage points).
- Business Quant data shows SGHT's Operating Margin at -63.02% (Q1 2026), -18.00% (Q4 2025) and -39.71% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 13.31% |
| 10 | Sight Sciences | 512.14 Mn | 163.09 Mn | 21.37 Mn | -16.62% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -16.62% |
| Mar 31, 2026 | -63.02% |
| Dec 31, 2025 | -18.00% |
| Sep 30, 2025 | -39.71% |
| Jun 30, 2025 | -59.64% |
| Mar 31, 2025 | -79.16% |
| Dec 31, 2024 | -62.54% |
| Sep 30, 2024 | -55.71% |
| Jun 30, 2024 | -59.20% |
| Mar 31, 2024 | -76.42% |
| Dec 31, 2023 | -59.25% |
| Sep 30, 2023 | -67.02% |
| Jun 30, 2023 | -64.71% |
| Mar 31, 2023 | -93.33% |
| Dec 31, 2022 | -83.01% |
| Sep 30, 2022 | -116.96% |
| Jun 30, 2022 | -132.71% |
| Mar 31, 2022 | -149.14% |
| Dec 31, 2021 | -100.21% |
| Sep 30, 2021 | -107.09% |
API Access
Sight Sciences Operating Margin 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-margin&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();