Vicarious Surgical (RBOT) Shares Outstanding (Diluted) (2020 - 2025)
Vicarious Surgical's Shares Outstanding (Diluted) came in at 5.95 million for Q4 2025, up 1.2% from 5.89 million a year earlier and unchanged from the prior quarter.
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Analysis
Vicarious Surgical (RBOT) Shares Outstanding (Diluted) (2020 - 2025) Analysis & Trends
Going back to Q3 2020, Vicarious Surgical's Shares Outstanding (Diluted) data covers 22 quarters.
- Shares Outstanding (Diluted) has increased in each of the last five years, with a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 5.89 million in FY2024 (+20.9%), 4.87 million in FY2023 (+14.5%), 4.25 million in FY2022 (+31.9%) and 3.22 million in FY2021 (+22.8%).
- Year-over-year, Shares Outstanding (Diluted) has increased for 18 consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.9% in Q3 2025 to 39.3% in Q1 2024.
- Business Quant data shows RBOT's Shares Outstanding (Diluted) at 5.95 million (Q3 2025), 5.94 million (Q2 2025) and 5.92 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Vicarious Surgical | 953,554.22 | -358.49 Mn | - | 5.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.95 Mn |
| Sep 30, 2025 | 5.95 Mn |
| Jun 30, 2025 | 5.94 Mn |
| Mar 31, 2025 | 5.92 Mn |
| Dec 31, 2024 | 5.89 Mn |
| Sep 30, 2024 | 5.90 Mn |
| Jun 30, 2024 | 5.87 Mn |
| Mar 31, 2024 | 5.86 Mn |
| Dec 31, 2023 | 4.87 Mn |
| Sep 30, 2023 | 5.17 Mn |
| Jun 30, 2023 | 4.23 Mn |
| Mar 31, 2023 | 4.20 Mn |
| Dec 31, 2022 | 4.25 Mn |
| Sep 30, 2022 | 4.07 Mn |
| Jun 30, 2022 | 4.04 Mn |
| Mar 31, 2022 | 4.01 Mn |
| Dec 31, 2021 | 3.22 Mn |
| Sep 30, 2021 | 3.07 Mn |
| Jun 30, 2021 | 2.93 Mn |
| Mar 31, 2021 | 2.92 Mn |
API Access
Vicarious Surgical Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=RBOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=RBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();