Vicarious Surgical (RBOT) Other Operating Expenses (2020 - 2025)
Vicarious Surgical (RBOT) posted Other Operating Expenses of $350,000 for Q3 2025, down 71.0% from $1.21 million a year earlier but up 0.3% from the prior quarter.
Vicarious Surgical (RBOT) Other Operating Expenses (2020 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Other Operating Expenses at Vicarious Surgical was $2.72 million, down 42.7% year-over-year; for FY2024, it was $4.53 million, down 27.4% from FY2023.
- Annual Other Operating Expenses shows a four-year compound annual growth rate of 51.4% (FY2020 to FY2024).
- In prior years, Vicarious Surgical's Other Operating Expenses was $6.23 million in FY2023 (-3.6%), $6.46 million in FY2022, $118,000 in FY2021 (-86.3%) and $861,000 in FY2020.
- Quarterly Other Operating Expenses has run from a low of $85,000 in Q4 2020 to a high of $1.96 million in Q1 2023 over five years.
- On a year-over-year basis, Other Operating Expenses has declined in each of the last nine quarters, with an average decline of 35.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2022, with growth of 303.4%; the weakest was Q3 2025, with a decline of 71.0%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $349,000 (Q2 2025), $1.04 million (Q1 2025) and $979,000 (Q4 2024).
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
| Date | Value |
|---|---|
| Sep 30, 2025 | 350,000.00 |
| Jun 30, 2025 | 349,000.00 |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 979,000.00 |
| Sep 30, 2024 | 1.21 Mn |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 1.14 Mn |
| Dec 31, 2023 | 1.20 Mn |
| Sep 30, 2023 | 1.40 Mn |
| Jun 30, 2023 | 1.67 Mn |
| Mar 31, 2023 | 1.96 Mn |
| Dec 31, 2022 | 1.84 Mn |
| Sep 30, 2022 | 1.91 Mn |
| Jun 30, 2022 | 1.31 Mn |
| Mar 31, 2022 | 1.51 Mn |
| Dec 31, 2021 | 1.57 Mn |
| Sep 30, 2021 | 842,000.00 |
| Jun 30, 2021 | 325,000.00 |
| Mar 31, 2021 | 130,000.00 |
| Dec 31, 2020 | 85,000.00 |
Vicarious Surgical Other 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=other-operating-expenses&ticker=RBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();