Vicarious Surgical (RBOT) Research & Development (2020 - 2025)
Vicarious Surgical's Research & Development was $7.99 million in Q3 2025, down 26.0% from $10.8 million a year earlier and down 11.7% from the prior quarter.
Vicarious Surgical (RBOT) Research & Development (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, Vicarious Surgical's Research & Development was $34.92 million through Sep 30, 2025, down 13.0% year-over-year; for FY2024, it was $40.16 million, down 15.6% from FY2023.
- Research & Development shows a four-year compound annual growth rate of 42.3% (FY2020 to FY2024).
- In earlier years, Research & Development was $47.58 million in FY2023 (+8.4%), $43.9 million in FY2022 (+99.0%), $22.06 million in FY2021 (+125.2%) and $9.8 million in FY2020.
- The Q3 2025 figure marks the lowest quarterly Research & Development since Q3 2021.
- Compared with a year earlier, Research & Development has declined for eight straight quarters, with an average decline of 16.8% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 212.1%); the worst was Q4 2023 (a decline of 28.7%).
- Per Business Quant data, RBOT's Research & Development in the three quarters before Q3 2025 was $9.05 million (Q2 2025), $9.42 million (Q1 2025) and $8.46 million (Q4 2024).
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 | Vicarious Surgical | 834,359.96 | -358.61 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.99 Mn |
| Jun 30, 2025 | 9.05 Mn |
| Mar 31, 2025 | 9.42 Mn |
| Dec 31, 2024 | 8.46 Mn |
| Sep 30, 2024 | 10.80 Mn |
| Jun 30, 2024 | 10.92 Mn |
| Mar 31, 2024 | 9.97 Mn |
| Dec 31, 2023 | 8.47 Mn |
| Sep 30, 2023 | 13.04 Mn |
| Jun 30, 2023 | 12.71 Mn |
| Mar 31, 2023 | 13.36 Mn |
| Dec 31, 2022 | 11.88 Mn |
| Sep 30, 2022 | 12.12 Mn |
| Jun 30, 2022 | 10.06 Mn |
| Mar 31, 2022 | 9.85 Mn |
| Dec 31, 2021 | 9.26 Mn |
| Sep 30, 2021 | 5.19 Mn |
| Jun 30, 2021 | 4.01 Mn |
| Mar 31, 2021 | 3.61 Mn |
| Dec 31, 2020 | 2.97 Mn |
Vicarious Surgical 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=RBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();