Sight Sciences (SGHT) EBIT Margin (2020 - 2026)
Sight Sciences' EBIT 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.
Sight Sciences (SGHT) EBIT Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sight Sciences reported EBIT 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.
- EBIT 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, EBIT 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 EBIT Margin in data going back to Q2 2020.
- Year-over-year, EBIT 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 EBIT 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 EBIT Margin at -63.02% (Q1 2026), -18.00% (Q4 2025) and -39.71% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.31% |
| 10 | Sight Sciences | 511.60 Mn | 162.54 Mn | 21.37 Mn | -16.62% |
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% |
Sight Sciences EBIT 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=ebit-margin&ticker=SGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();