Vicarious Surgical (RBOT) Return on Capital Employed [ROCE] (2021 - 2025)
Vicarious Surgical (RBOT) recorded Return on Capital Employed [ROCE] of -174.52% in Q3 2025, down 88.89 percentage points from -85.63% a year earlier and down 29.91 percentage points from the prior quarter.
Vicarious Surgical (RBOT) Return on Capital Employed [ROCE] (2021 - 2025) Analysis & Trends
For FY2024, Vicarious Surgical reported Return on Capital Employed [ROCE] of -77.28%, down 11.59 percentage points from FY2023.
- Annual Return on Capital Employed [ROCE] has declined for three straight years, with a three-year change of -36.39 percentage points (FY2021 to FY2024).
- Across earlier years, Return on Capital Employed [ROCE] came in at -65.69% in FY2023 (-13.21 pp), -52.48% in FY2022 (-11.59 pp) and -40.89% in FY2021.
- The Q3 2025 figure is the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for five consecutive quarters, with an average year-over-year change of -32.10 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 5.42 percentage points in Q2 2024, against a drop of 88.89 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -144.61% (Q2 2025), -123.65% (Q1 2025) and -100.08% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 6.00% |
| 10 | Vicarious Surgical | 1.07 Mn | -358.37 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -174.52% |
| Jun 30, 2025 | -144.61% |
| Mar 31, 2025 | -123.65% |
| Dec 31, 2024 | -100.08% |
| Sep 30, 2024 | -85.63% |
| Jun 30, 2024 | -76.75% |
| Mar 31, 2024 | -69.27% |
| Dec 31, 2023 | -67.97% |
| Sep 30, 2023 | -77.60% |
| Jun 30, 2023 | -82.17% |
| Mar 31, 2023 | -67.90% |
| Dec 31, 2022 | -58.41% |
| Sep 30, 2022 | -53.05% |
| Jun 30, 2022 | -38.57% |
| Mar 31, 2022 | -29.34% |
| Dec 31, 2021 | -21.09% |
| Sep 30, 2021 | -9.08% |
| Jun 30, 2021 | -5.52% |
| Mar 31, 2021 | -6.86% |
Vicarious Surgical 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=RBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "RBOT", "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=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();