Vicarious Surgical (RBOT) Accumulated Expenses (2020 - 2025)
Vicarious Surgical's Accumulated Expenses came in at $1.06 million for Q4 2025, down 80.0% from $5.28 million a year earlier but up 16.7% from the prior quarter.
Powered by 
Analysis
Vicarious Surgical (RBOT) Accumulated Expenses (2020 - 2025) Analysis & Trends
Going back to Q2 2020, Vicarious Surgical's Accumulated Expenses data covers 23 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 21.8% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $5.28 million in FY2024 (+6.2%), $4.98 million in FY2023 (-14.3%), $5.81 million in FY2022 (+41.7%) and $4.1 million in FY2021 (+940.1%).
- The five-year range for quarterly Accumulated Expenses is $905,000 (Q3 2025) to $5.81 million (Q4 2022).
- Year-over-year, Accumulated Expenses has declined for three consecutive quarters, with an average decline of 15.5% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 940.1%), and the weakest in Q3 2025 (a decline of 81.9%).
- Business Quant data shows RBOT's Accumulated Expenses at $905,000 (Q3 2025), $3.07 million (Q2 2025) and $5.57 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Vicarious Surgical | 953,554.22 | -358.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.06 Mn |
| Sep 30, 2025 | 905,000.00 |
| Jun 30, 2025 | 3.07 Mn |
| Mar 31, 2025 | 5.57 Mn |
| Dec 31, 2024 | 5.28 Mn |
| Sep 30, 2024 | 5.01 Mn |
| Jun 30, 2024 | 4.70 Mn |
| Mar 31, 2024 | 2.72 Mn |
| Dec 31, 2023 | 4.98 Mn |
| Sep 30, 2023 | 5.27 Mn |
| Jun 30, 2023 | 4.94 Mn |
| Mar 31, 2023 | 3.83 Mn |
| Dec 31, 2022 | 5.81 Mn |
| Sep 30, 2022 | 5.37 Mn |
| Jun 30, 2022 | 4.27 Mn |
| Mar 31, 2022 | 3.05 Mn |
| Dec 31, 2021 | 4.10 Mn |
| Sep 30, 2021 | 1.62 Mn |
| Jun 30, 2021 | 2.09 Mn |
| Mar 31, 2021 | 1.46 Mn |
API Access
Vicarious Surgical Accumulated 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=accumulated-expenses&ticker=RBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();