Sight Sciences (SGHT) Assets (2020 - 2026)
Sight Sciences' Assets was $104.87 million in Q2 2026, down 14.0% from $121.97 million a year earlier and down 4.4% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Assets at Sight Sciences came in at $115.3 million, down 19.3% from FY2024.
- Assets has now declined for four consecutive years, though with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In earlier years, Assets was $142.84 million in FY2024 (-14.3%), $166.65 million in FY2023 (-21.8%), $213.07 million in FY2022 (-24.0%) and $280.19 million in FY2021 (+284.8%).
- The Q2 2026 figure marks the lowest quarterly Assets since Q2 2021.
- Compared with a year earlier, Assets has declined for 16 straight quarters, with an average decline of 17.0% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q2 2022 (growth of 358.5%); the worst was Q1 2023 (a decline of 24.0%).
- Per Business Quant data, SGHT's Assets in the three quarters before Q2 2026 was $109.7 million (Q1 2026), $115.3 million (Q4 2025) and $116.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.87 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 50.73 Bn |
| 10 | Sight Sciences | 511.60 Mn | 162.54 Mn | 21.37 Mn | 104.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.87 Mn |
| Mar 31, 2026 | 109.70 Mn |
| Dec 31, 2025 | 115.30 Mn |
| Sep 30, 2025 | 116.26 Mn |
| Jun 30, 2025 | 121.97 Mn |
| Mar 31, 2025 | 129.68 Mn |
| Dec 31, 2024 | 142.84 Mn |
| Sep 30, 2024 | 143.60 Mn |
| Jun 30, 2024 | 149.72 Mn |
| Mar 31, 2024 | 155.56 Mn |
| Dec 31, 2023 | 166.65 Mn |
| Sep 30, 2023 | 176.64 Mn |
| Jun 30, 2023 | 185.29 Mn |
| Mar 31, 2023 | 196.64 Mn |
| Dec 31, 2022 | 213.07 Mn |
| Sep 30, 2022 | 225.23 Mn |
| Jun 30, 2022 | 240.75 Mn |
| Mar 31, 2022 | 258.59 Mn |
| Dec 31, 2021 | 280.19 Mn |
| Sep 30, 2021 | 291.05 Mn |
API Access
Sight Sciences Assets 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=assets&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();