Sight Sciences (SGHT) Cash & Equivalents (2020 - 2026)
Sight Sciences (SGHT) reported Cash & Equivalents of $79.75 million for Q2 2026, down 21.4% from $101.5 million a year earlier and down 6.1% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Sight Sciences posted Cash & Equivalents of $91.97 million, down 23.6% from FY2024.
- Cash & Equivalents has declined for four consecutive years, though with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $120.36 million in FY2024 (-12.9%), $138.13 million in FY2023 (-25.3%), $185 million in FY2022 (-29.0%) and $260.69 million in FY2021 (+323.8%).
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q2 2021.
- Year over year, Cash & Equivalents has now declined in each of the last 16 quarters, with an average decline of 18.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2022 (growth of 518.7%); the low point was Q1 2023 (a decline of 29.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $84.96 million (Q1 2026), $91.97 million (Q4 2025) and $92.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Sight Sciences | 593.61 Mn | 259.53 Mn | 21.42 Mn | 77.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77.40 Mn |
| Jun 30, 2026 | 79.75 Mn |
| Mar 31, 2026 | 84.96 Mn |
| Dec 31, 2025 | 91.97 Mn |
| Sep 30, 2025 | 92.37 Mn |
| Jun 30, 2025 | 101.50 Mn |
| Mar 31, 2025 | 108.77 Mn |
| Dec 31, 2024 | 120.36 Mn |
| Sep 30, 2024 | 118.56 Mn |
| Jun 30, 2024 | 118.18 Mn |
| Mar 31, 2024 | 127.28 Mn |
| Dec 31, 2023 | 138.13 Mn |
| Sep 30, 2023 | 144.50 Mn |
| Jun 30, 2023 | 154.52 Mn |
| Mar 31, 2023 | 167.34 Mn |
| Dec 31, 2022 | 185.00 Mn |
| Sep 30, 2022 | 199.82 Mn |
| Jun 30, 2022 | 220.10 Mn |
| Mar 31, 2022 | 238.59 Mn |
| Dec 31, 2021 | 260.69 Mn |
API Access
Sight Sciences Cash & Equivalents 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=cash-and-equivalents&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();