Sight Sciences (SGHT) Shares Outstanding (2020 - 2026)
Sight Sciences (SGHT) recorded Shares Outstanding of 54.51 million in Q2 2026, up 5.2% from 51.82 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Sight Sciences reported Shares Outstanding of 52.15 million, up 4.0% from FY2024.
- Annual Shares Outstanding has increased for five straight years, with a five-year compound annual growth rate of 41.0% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 50.13 million in FY2024 (+3.1%), 48.63 million in FY2023 (+1.6%), 47.85 million in FY2022 (+79.0%) and 26.73 million in FY2021 (+185.7%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q2 2020.
- On a year-over-year basis, Shares Outstanding has increased for 21 consecutive quarters, with growth averaging 4.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 1.6% (Q3 2023) to 399.8% (Q1 2022).
- Per Business Quant, the preceding three quarters came in at 53.94 million (Q1 2026), 52.15 million (Q4 2025) and 52.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 705.30 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 354.10 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 383.50 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 576.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 274.79 Mn |
| 10 | Sight Sciences | 512.14 Mn | 163.09 Mn | 21.37 Mn | 54.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.51 Mn |
| Mar 31, 2026 | 53.94 Mn |
| Dec 31, 2025 | 52.15 Mn |
| Sep 30, 2025 | 52.38 Mn |
| Jun 30, 2025 | 51.82 Mn |
| Mar 31, 2025 | 51.29 Mn |
| Dec 31, 2024 | 50.13 Mn |
| Sep 30, 2024 | 50.34 Mn |
| Jun 30, 2024 | 49.90 Mn |
| Mar 31, 2024 | 49.49 Mn |
| Dec 31, 2023 | 48.63 Mn |
| Sep 30, 2023 | 48.67 Mn |
| Jun 30, 2023 | 48.54 Mn |
| Mar 31, 2023 | 48.41 Mn |
| Dec 31, 2022 | 47.85 Mn |
| Sep 30, 2022 | 47.91 Mn |
| Jun 30, 2022 | 47.70 Mn |
| Mar 31, 2022 | 47.57 Mn |
| Dec 31, 2021 | 26.73 Mn |
| Sep 30, 2021 | 39.85 Mn |
API Access
Sight Sciences Shares Outstanding 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=shares-outstanding&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();