Sight Sciences (SGHT) Operating Expenses (2020 - 2026)
Sight Sciences' Operating Expenses came in at $25.26 million for Q2 2026, down 10.6% from $28.25 million a year earlier and down 14.0% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sight Sciences reported Operating Expenses of $101.21 million, down 11.1% year-over-year; for FY2025, it came in at $103.77 million, down 12.7% from FY2024.
- Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $118.82 million in FY2024 (-6.0%), $126.45 million in FY2023 (-11.5%), $142.92 million in FY2022 (+55.6%) and $91.82 million in FY2021 (+81.4%).
- The five-year range for quarterly Operating Expenses is $21.46 million (Q4 2025) to $37.59 million (Q3 2022).
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with an average decline of 8.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 89.2%), and the weakest in Q4 2025 (a decline of 24.7%).
- Business Quant data shows SGHT's Operating Expenses at $29.39 million (Q1 2026), $21.46 million (Q4 2025) and $25.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Sight Sciences | 512.14 Mn | 163.09 Mn | 21.37 Mn | 25.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.26 Mn |
| Mar 31, 2026 | 29.39 Mn |
| Dec 31, 2025 | 21.46 Mn |
| Sep 30, 2025 | 25.10 Mn |
| Jun 30, 2025 | 28.25 Mn |
| Mar 31, 2025 | 28.95 Mn |
| Dec 31, 2024 | 28.49 Mn |
| Sep 30, 2024 | 28.14 Mn |
| Jun 30, 2024 | 31.00 Mn |
| Mar 31, 2024 | 31.20 Mn |
| Dec 31, 2023 | 27.09 Mn |
| Sep 30, 2023 | 30.74 Mn |
| Jun 30, 2023 | 35.28 Mn |
| Mar 31, 2023 | 33.34 Mn |
| Dec 31, 2022 | 33.93 Mn |
| Sep 30, 2022 | 37.59 Mn |
| Jun 30, 2022 | 37.36 Mn |
| Mar 31, 2022 | 34.04 Mn |
| Dec 31, 2021 | 27.46 Mn |
| Sep 30, 2021 | 25.07 Mn |
API Access
Sight Sciences Operating Expenses 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=operating-expenses&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();