Sight Sciences (SGHT) Return on Capital Employed [ROCE] (2021 - 2026)
Sight Sciences' Return on Capital Employed [ROCE] came in at -32.12% for Q2 2026, up 10.63 percentage points from -42.75% a year earlier and up 5.68 percentage points from the prior quarter.
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Analysis
Sight Sciences (SGHT) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Sight Sciences' Return on Capital Employed [ROCE] was -31.43%, up 4.85 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a four-year change of +0.15 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -36.28% in FY2024 (-4.03 pp), -32.25% in FY2023 (+4.44 pp), -36.69% in FY2022 (-5.11 pp) and -31.58% in FY2021.
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q2 2022.
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of -0.01 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2026 (a gain of 10.63 percentage points), and the weakest in Q4 2022 (a drop of 22.78 percentage points).
- Business Quant data shows SGHT's Return on Capital Employed [ROCE] at -37.79% (Q1 2026), -35.42% (Q4 2025) and -42.28% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Sight Sciences | 466.73 Mn | 117.68 Mn | 21.37 Mn | -32.12% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.12% |
| Mar 31, 2026 | -37.79% |
| Dec 31, 2025 | -35.42% |
| Sep 30, 2025 | -42.28% |
| Jun 30, 2025 | -42.75% |
| Mar 31, 2025 | -40.01% |
| Dec 31, 2024 | -39.56% |
| Sep 30, 2024 | -37.42% |
| Jun 30, 2024 | -37.24% |
| Mar 31, 2024 | -36.43% |
| Dec 31, 2023 | -35.93% |
| Sep 30, 2023 | -37.94% |
| Jun 30, 2023 | -40.50% |
| Mar 31, 2023 | -41.82% |
| Dec 31, 2022 | -41.70% |
| Sep 30, 2022 | -37.86% |
| Jun 30, 2022 | -31.34% |
| Mar 31, 2022 | -24.09% |
| Dec 31, 2021 | -18.92% |
| Sep 30, 2021 | -27.99% |
API Access
Sight Sciences Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=SGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=SGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();