Sight Sciences (SGHT) Current Assets (2020 - 2026)
Sight Sciences' Current Assets was $101.44 million in Q2 2026, down 15.1% from $119.43 million a year earlier and down 4.8% from the prior quarter.
Sight Sciences (SGHT) Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Current Assets at Sight Sciences came in at $112.73 million, down 19.3% from FY2024.
- Current Assets has now declined for four consecutive years, though with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In earlier years, Current Assets was $139.77 million in FY2024 (-14.2%), $162.87 million in FY2023 (-22.3%), $209.68 million in FY2022 (-24.3%) and $277.04 million in FY2021 (+292.2%).
- The Q2 2026 figure marks the lowest quarterly Current Assets since Q2 2021.
- Compared with a year earlier, Current Assets has declined for 16 straight quarters, with an average decline of 17.2% over the last eight quarters.
- The best year-over-year quarter for Current Assets over five years was Q2 2022 (growth of 401.2%); the worst was Q4 2022 (a decline of 24.3%).
- Per Business Quant data, SGHT's Current Assets in the three quarters before Q2 2026 was $106.51 million (Q1 2026), $112.73 million (Q4 2025) and $113.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 23.37 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 24.52 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 13.38 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 9.54 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 24.39 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.42 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 7.97 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 6.82 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 8.14 Bn |
| 10 | Sight Sciences | 511.60 Mn | 162.54 Mn | 21.37 Mn | 101.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.44 Mn |
| Mar 31, 2026 | 106.51 Mn |
| Dec 31, 2025 | 112.73 Mn |
| Sep 30, 2025 | 113.60 Mn |
| Jun 30, 2025 | 119.43 Mn |
| Mar 31, 2025 | 126.91 Mn |
| Dec 31, 2024 | 139.77 Mn |
| Sep 30, 2024 | 140.47 Mn |
| Jun 30, 2024 | 146.33 Mn |
| Mar 31, 2024 | 152.09 Mn |
| Dec 31, 2023 | 162.87 Mn |
| Sep 30, 2023 | 173.56 Mn |
| Jun 30, 2023 | 182.32 Mn |
| Mar 31, 2023 | 193.65 Mn |
| Dec 31, 2022 | 209.68 Mn |
| Sep 30, 2022 | 222.34 Mn |
| Jun 30, 2022 | 237.55 Mn |
| Mar 31, 2022 | 255.31 Mn |
| Dec 31, 2021 | 277.04 Mn |
| Sep 30, 2021 | 287.84 Mn |
Sight Sciences Current 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=current-assets&ticker=SGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();