Sight Sciences (SGHT) Research & Development (2020 - 2026)
Sight Sciences' Research & Development came in at $2.51 million for Q2 2026, down 42.7% from $4.39 million a year earlier and down 1.3% from the prior quarter.
Sight Sciences (SGHT) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sight Sciences reported Research & Development of $10.85 million, down 39.3% year-over-year; for FY2025, it came in at $14.61 million, down 18.8% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Research & Development was $17.99 million in FY2024 (+2.5%), $17.56 million in FY2023 (-23.2%), $22.86 million in FY2022 (+46.2%) and $15.63 million in FY2021 (+76.2%).
- The five-year range for quarterly Research & Development is $2.44 million (Q4 2025) to $6.05 million (Q3 2022).
- Year-over-year, Research & Development has declined for four consecutive quarters, with an average decline of 15.4% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q3 2021 (growth of 98.3%), and the weakest in Q4 2025 (a decline of 43.2%).
- Business Quant data shows SGHT's Research & Development at $2.55 million (Q1 2026), $2.44 million (Q4 2025) and $3.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Sight Sciences | 511.60 Mn | 162.54 Mn | 21.37 Mn | 2.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.51 Mn |
| Mar 31, 2026 | 2.55 Mn |
| Dec 31, 2025 | 2.44 Mn |
| Sep 30, 2025 | 3.35 Mn |
| Jun 30, 2025 | 4.39 Mn |
| Mar 31, 2025 | 4.43 Mn |
| Dec 31, 2024 | 4.29 Mn |
| Sep 30, 2024 | 4.75 Mn |
| Jun 30, 2024 | 4.32 Mn |
| Mar 31, 2024 | 4.64 Mn |
| Dec 31, 2023 | 3.43 Mn |
| Sep 30, 2023 | 4.24 Mn |
| Jun 30, 2023 | 5.22 Mn |
| Mar 31, 2023 | 4.67 Mn |
| Dec 31, 2022 | 5.23 Mn |
| Sep 30, 2022 | 6.05 Mn |
| Jun 30, 2022 | 5.93 Mn |
| Mar 31, 2022 | 5.65 Mn |
| Dec 31, 2021 | 4.37 Mn |
| Sep 30, 2021 | 4.28 Mn |
Sight Sciences Research & Development 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=research-and-development&ticker=SGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();