Sight Sciences (SGHT) EBITDA Margin (2020 - 2026)
Sight Sciences (SGHT) reported EBITDA Margin of -16.22% for Q2 2026, up 42.77 percentage points from -59.00% a year earlier and up 46.27 percentage points from the prior quarter.
Sight Sciences (SGHT) EBITDA Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sight Sciences' EBITDA Margin came in at -32.94%, up 30.07 percentage points year-over-year; for FY2025, it was -47.32%, up 15.05 percentage points from FY2024.
- EBITDA Margin has increased for three consecutive years, with a five-year change of +66.96 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at -62.38% in FY2024 (+7.52 pp), -69.90% in FY2023 (+46.80 pp), -116.70% in FY2022 (-12.84 pp) and -103.86% in FY2021 (+10.42 pp).
- The Q2 2026 figure ranks as the highest quarterly EBITDA Margin in data going back to Q2 2020.
- Year over year, EBITDA Margin has now increased in each of the last four quarters, with an average year-over-year change of +15.38 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q2 2023 (a gain of 67.48 percentage points); the low point was Q2 2022 (a drop of 44.78 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -62.49% (Q1 2026), -17.47% (Q4 2025) and -39.18% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 28.17% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 31.93% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 24.62% |
| 10 | Sight Sciences | 511.60 Mn | 162.54 Mn | 21.37 Mn | -16.22% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -16.22% |
| Mar 31, 2026 | -62.49% |
| Dec 31, 2025 | -17.47% |
| Sep 30, 2025 | -39.18% |
| Jun 30, 2025 | -59.00% |
| Mar 31, 2025 | -78.31% |
| Dec 31, 2024 | -61.62% |
| Sep 30, 2024 | -54.92% |
| Jun 30, 2024 | -58.33% |
| Mar 31, 2024 | -75.43% |
| Dec 31, 2023 | -58.40% |
| Sep 30, 2023 | -66.23% |
| Jun 30, 2023 | -64.07% |
| Mar 31, 2023 | -92.55% |
| Dec 31, 2022 | -82.48% |
| Sep 30, 2022 | -115.89% |
| Jun 30, 2022 | -131.55% |
| Mar 31, 2022 | -147.79% |
| Dec 31, 2021 | -99.31% |
| Sep 30, 2021 | -105.56% |
Sight Sciences EBITDA 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=ebitda-margin&ticker=SGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();