Vicarious Surgical (RBOT) Cash & Equivalents (2020 - 2025)
Vicarious Surgical (RBOT) recorded Cash & Equivalents of $2.57 million in Q4 2025, down 73.6% from $9.74 million a year earlier and down 18.8% from the prior quarter.
Vicarious Surgical (RBOT) Cash & Equivalents (2020 - 2025) Analysis & Trends
Starting with Q3 2020, Vicarious Surgical's Cash & Equivalents history includes 21 quarters.
- Annual Cash & Equivalents has declined for four straight years, with a five-year compound annual growth rate of -31.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $9.74 million in FY2024 (-81.6%), $52.82 million in FY2023 (-54.5%), $116.21 million in FY2022 (-33.0%) and $173.51 million in FY2021 (+921.5%).
- The Q4 2025 figure is the lowest quarterly Cash & Equivalents since Q1 2021.
- On a year-over-year basis, Cash & Equivalents has declined for 11 consecutive quarters, with an average decline of 67.5% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 921.5% in Q4 2021, against a decline of 93.2% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.16 million (Q3 2025), $3.91 million (Q2 2025) and $2.6 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Vicarious Surgical | 1.07 Mn | -358.37 Mn | - | 2.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.57 Mn |
| Sep 30, 2025 | 3.16 Mn |
| Jun 30, 2025 | 3.91 Mn |
| Mar 31, 2025 | 2.60 Mn |
| Dec 31, 2024 | 9.74 Mn |
| Sep 30, 2024 | 7.07 Mn |
| Jun 30, 2024 | 20.25 Mn |
| Mar 31, 2024 | 38.22 Mn |
| Dec 31, 2023 | 52.82 Mn |
| Sep 30, 2023 | 59.11 Mn |
| Jun 30, 2023 | 32.81 Mn |
| Mar 31, 2023 | 54.08 Mn |
| Dec 31, 2022 | 116.21 Mn |
| Sep 30, 2022 | 126.80 Mn |
| Jun 30, 2022 | 141.32 Mn |
| Dec 31, 2021 | 173.51 Mn |
| Sep 30, 2021 | 185.05 Mn |
| Jun 30, 2021 | 7.71 Mn |
| Mar 31, 2021 | 1.03 Mn |
| Dec 31, 2020 | 16.99 Mn |
Vicarious Surgical Cash & Equivalents 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=cash-and-equivalents&ticker=RBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();