Sight Sciences (SGHT) Net Margin (2020 - 2026)
Sight Sciences (SGHT) reported Net Margin of -19.01% for Q2 2026, up 42.03 percentage points from -61.04% a year earlier and up 46.99 percentage points from the prior quarter.
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Analysis
Sight Sciences (SGHT) Net Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sight Sciences' Net Margin came in at -35.67%, up 28.56 percentage points year-over-year; for FY2025, it came in at -49.67%, up 14.82 percentage points from FY2024.
- Net Margin has increased for four consecutive years, with a five-year change of +75.85 percentage points (FY2020 to FY2025).
- By year, Net Margin came in at -64.49% in FY2024 (+4.04 pp), -68.53% in FY2023 (+52.37 pp), -120.90% in FY2022 (+7.70 pp) and -128.61% in FY2021 (-3.09 pp).
- The Q2 2026 figure ranks as the highest quarterly Net Margin in data going back to Q2 2020.
- Year over year, Net Margin has now increased in each of the last four quarters, with an average year-over-year change of +14.75 percentage points over the last eight quarters.
- The high point for year-over-year Net Margin in five years was Q2 2023 (a gain of 75.53 percentage points); the low point was Q3 2021 (a drop of 37.45 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -66.00% (Q1 2026), -20.24% (Q4 2025) and -41.04% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 16.67% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.89% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 7.57% |
| 10 | Sight Sciences | 511.60 Mn | 162.54 Mn | 21.37 Mn | -19.01% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.01% |
| Mar 31, 2026 | -66.00% |
| Dec 31, 2025 | -20.24% |
| Sep 30, 2025 | -41.04% |
| Jun 30, 2025 | -61.04% |
| Mar 31, 2025 | -80.84% |
| Dec 31, 2024 | -62.11% |
| Sep 30, 2024 | -54.90% |
| Jun 30, 2024 | -57.69% |
| Mar 31, 2024 | -84.43% |
| Dec 31, 2023 | -57.02% |
| Sep 30, 2023 | -65.15% |
| Jun 30, 2023 | -62.86% |
| Mar 31, 2023 | -90.67% |
| Dec 31, 2022 | -82.30% |
| Sep 30, 2022 | -119.02% |
| Jun 30, 2022 | -138.39% |
| Mar 31, 2022 | -156.33% |
| Dec 31, 2021 | -108.52% |
| Sep 30, 2021 | -131.05% |
API Access
Sight Sciences Net 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=net-margin&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();