Sight Sciences (SGHT) Revenue (2020 - 2026)
Sight Sciences (SGHT) recorded Revenue of $23.39 million in Q2 2026, up 19.5% from $19.56 million a year earlier and up 18.7% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Sight Sciences' Revenue came in at $83.38 million as of Jun 30, 2026, up 9.3% year-over-year; for FY2025, it came in at $77.36 million, down 3.1% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 22.9% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $79.87 million in FY2024 (-1.5%), $81.06 million in FY2023 (+13.6%), $71.33 million in FY2022 (+45.7%) and $48.96 million in FY2021 (+77.1%).
- The Q2 2026 figure is the highest quarterly Revenue since Q2 2023.
- On a year-over-year basis, Revenue has increased for three consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 72.3% in Q1 2022, against a decline of 9.1% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.7 million (Q1 2026), $20.39 million (Q4 2025) and $19.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 12.14 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 13.01 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 6.55 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 3.05 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 6.52 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 5.14 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.72 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 7.86 Bn |
| 10 | Sight Sciences | 593.61 Mn | 259.53 Mn | 21.42 Mn | 24.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.92 Mn |
| Jun 30, 2026 | 23.39 Mn |
| Mar 31, 2026 | 19.70 Mn |
| Dec 31, 2025 | 20.39 Mn |
| Sep 30, 2025 | 19.91 Mn |
| Jun 30, 2025 | 19.56 Mn |
| Mar 31, 2025 | 17.51 Mn |
| Dec 31, 2024 | 19.07 Mn |
| Sep 30, 2024 | 20.16 Mn |
| Jun 30, 2024 | 21.37 Mn |
| Mar 31, 2024 | 19.27 Mn |
| Dec 31, 2023 | 18.75 Mn |
| Sep 30, 2023 | 20.01 Mn |
| Jun 30, 2023 | 23.47 Mn |
| Mar 31, 2023 | 18.82 Mn |
| Dec 31, 2022 | 20.54 Mn |
| Sep 30, 2022 | 18.68 Mn |
| Jun 30, 2022 | 17.23 Mn |
| Mar 31, 2022 | 14.88 Mn |
| Dec 31, 2021 | 14.69 Mn |
API Access
Sight Sciences Revenue 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=revenue&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();