Sight Sciences (SGHT) Capital Expenditures (2020 - 2026)
Sight Sciences (SGHT) posted Capital Expenditures of $19,000 for Q2 2026, down 91.0% from $210,000 a year earlier and down 68.3% from the prior quarter.
Sight Sciences (SGHT) Capital Expenditures (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Sight Sciences was $93,000, down 76.6% year-over-year; for FY2025, it was $224,000, down 41.8% from FY2024.
- Annual Capital Expenditures has declined for three consecutive years, with a five-year compound annual growth rate of -25.1% (FY2020 to FY2025).
- In prior years, Sight Sciences' Capital Expenditures was $385,000 in FY2024 (-51.3%), $791,000 in FY2023 (-18.5%), $970,000 in FY2022 (+19.3%) and $813,000 in FY2021 (-14.7%).
- Quarterly Capital Expenditures has run from a low of -$156,000 in Q4 2025 to a high of $342,000 in Q2 2022 over five years.
- On a year-over-year basis, Capital Expenditures increased in two of the last five quarters, with growth averaging 34.7%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2025, with growth of 233.3%; the weakest was Q2 2026, with a decline of 91.0%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $60,000 (Q1 2026), -$156,000 (Q4 2025) and $170,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Sight Sciences | 512.14 Mn | 163.09 Mn | 21.37 Mn | 19,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19,000.00 |
| Mar 31, 2026 | 60,000.00 |
| Dec 31, 2025 | -156,000.00 |
| Sep 30, 2025 | 170,000.00 |
| Jun 30, 2025 | 210,000.00 |
| Dec 31, 2024 | 137,000.00 |
| Sep 30, 2024 | 51,000.00 |
| Jun 30, 2024 | 80,000.00 |
| Mar 31, 2024 | 117,000.00 |
| Dec 31, 2023 | 264,000.00 |
| Sep 30, 2023 | 304,000.00 |
| Jun 30, 2023 | 97,000.00 |
| Mar 31, 2023 | 126,000.00 |
| Dec 31, 2022 | 129,000.00 |
| Sep 30, 2022 | 272,000.00 |
| Jun 30, 2022 | 342,000.00 |
| Mar 31, 2022 | 227,000.00 |
| Dec 31, 2021 | 157,000.00 |
| Sep 30, 2021 | 287,000.00 |
| Jun 30, 2021 | 265,000.00 |
Sight Sciences Capital Expenditures 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=capital-expenditures&ticker=SGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();