Sight Sciences (SGHT) Property, Plant & Equipment (Net) (2020 - 2026)
Sight Sciences' Property, Plant & Equipment (Net) came in at $1.67 million for Q2 2026, up 14.2% from $1.46 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Sight Sciences (SGHT) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Sight Sciences' Property, Plant & Equipment (Net) was $1.61 million, up 1.9% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $1.58 million in FY2024 (-3.7%), $1.64 million in FY2023 (+4.4%), $1.57 million in FY2022 (+8.0%) and $1.45 million in FY2021 (+14.6%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q2 2022.
- Year-over-year, Property, Plant & Equipment (Net) has increased for four consecutive quarters, with growth averaging 1.9% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2022 (growth of 21.1%), and the weakest in Q1 2023 (a decline of 18.7%).
- Business Quant data shows SGHT's Property, Plant & Equipment (Net) at $1.62 million (Q1 2026), $1.61 million (Q4 2025) and $1.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 10.58 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 12.88 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.77 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 4.05 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 4.18 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.86 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.73 Bn |
| 10 | Sight Sciences | 593.61 Mn | 259.53 Mn | 21.42 Mn | 1.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.71 Mn |
| Jun 30, 2026 | 1.67 Mn |
| Mar 31, 2026 | 1.62 Mn |
| Dec 31, 2025 | 1.61 Mn |
| Sep 30, 2025 | 1.55 Mn |
| Jun 30, 2025 | 1.46 Mn |
| Mar 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 1.58 Mn |
| Sep 30, 2024 | 1.45 Mn |
| Jun 30, 2024 | 1.49 Mn |
| Mar 31, 2024 | 1.55 Mn |
| Dec 31, 2023 | 1.64 Mn |
| Sep 30, 2023 | 1.56 Mn |
| Jun 30, 2023 | 1.48 Mn |
| Mar 31, 2023 | 1.39 Mn |
| Dec 31, 2022 | 1.57 Mn |
| Sep 30, 2022 | 1.57 Mn |
| Jun 30, 2022 | 1.72 Mn |
| Mar 31, 2022 | 1.71 Mn |
| Dec 31, 2021 | 1.45 Mn |
API Access
Sight Sciences Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();