Vicarious Surgical (RBOT) Operating Expenses (2020 - 2025)
Vicarious Surgical (RBOT) reported Operating Expenses of $11.5 million for Q3 2025, down 35.2% from $17.76 million a year earlier and down 14.9% from the prior quarter.
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Analysis
Vicarious Surgical (RBOT) Operating Expenses (2020 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Vicarious Surgical's Operating Expenses came in at $55.75 million, down 16.9% year-over-year; for FY2024, it was $66.56 million, down 17.5% from FY2023.
- Operating Expenses has a four-year compound annual growth rate of 50.5% (FY2020 to FY2024).
- By year, Operating Expenses came in at $80.67 million in FY2023 (+0.7%), $80.08 million in FY2022 (+109.5%), $38.22 million in FY2021 (+194.4%) and $12.99 million in FY2020.
- The Q3 2025 figure ranks as the lowest quarterly Operating Expenses since Q3 2021.
- Year over year, Operating Expenses has now declined in each of the last nine quarters, with an average decline of 18.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 370.9%); the low point was Q3 2025 (a decline of 35.2%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $13.52 million (Q2 2025), $15.75 million (Q1 2025) and $14.98 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Vicarious Surgical | 834,359.96 | -358.61 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 11.50 Mn |
| Jun 30, 2025 | 13.52 Mn |
| Mar 31, 2025 | 15.75 Mn |
| Dec 31, 2024 | 14.98 Mn |
| Sep 30, 2024 | 17.76 Mn |
| Jun 30, 2024 | 17.71 Mn |
| Mar 31, 2024 | 16.11 Mn |
| Dec 31, 2023 | 15.54 Mn |
| Sep 30, 2023 | 21.35 Mn |
| Jun 30, 2023 | 21.46 Mn |
| Mar 31, 2023 | 22.32 Mn |
| Dec 31, 2022 | 20.61 Mn |
| Sep 30, 2022 | 22.16 Mn |
| Jun 30, 2022 | 19.13 Mn |
| Mar 31, 2022 | 18.18 Mn |
| Dec 31, 2021 | 17.82 Mn |
| Sep 30, 2021 | 8.56 Mn |
| Jun 30, 2021 | 6.61 Mn |
| Mar 31, 2021 | 5.23 Mn |
| Dec 31, 2020 | 3.78 Mn |
API Access
Vicarious Surgical Operating Expenses 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=operating-expenses&ticker=RBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();