Microbot Medical (MBOT) Shares Outstanding (Diluted) (2022 - 2026)
Microbot Medical (MBOT) posted Weighted Average Shares Outstanding (Diluted) of 67.16 million for Q1 2026, up 116.0% from 31.09 million a year earlier and up 46.7% from the prior quarter.
Microbot Medical (MBOT) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Microbot Medical's Weighted Average Shares Outstanding (Diluted) came in at 45.79 million, up 192.7% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for three consecutive years, with a three-year compound annual growth rate of 84.8% (FY2022 to FY2025).
- In prior years, Microbot Medical's Weighted Average Shares Outstanding (Diluted) was 15.64 million in FY2024 (+53.4%), 10.2 million in FY2023 (+40.5%) and 7.26 million in FY2022.
- The Q1 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2022.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased in each of the last 12 quarters, with growth averaging 115.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding (Diluted) ran from 29.4% in Q2 2023 to 192.7% in Q4 2025.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 45.79 million (Q4 2025), 48.1 million (Q3 2025) and 36.49 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 706.80 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 384.70 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 1.32 Bn |
| 10 | Microbot Medical | 70.52 Mn | -228.09 Mn | -643,000.00 | 67.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.16 Mn |
| Mar 31, 2026 | 67.16 Mn |
| Dec 31, 2025 | 45.79 Mn |
| Sep 30, 2025 | 48.10 Mn |
| Jun 30, 2025 | 36.49 Mn |
| Mar 31, 2025 | 31.09 Mn |
| Dec 31, 2024 | 15.64 Mn |
| Sep 30, 2024 | 16.47 Mn |
| Jun 30, 2024 | 14.85 Mn |
| Mar 31, 2024 | 14.06 Mn |
| Dec 31, 2023 | 10.20 Mn |
| Sep 30, 2023 | 11.71 Mn |
| Jun 30, 2023 | 9.20 Mn |
| Mar 31, 2023 | 8.01 Mn |
| Dec 31, 2022 | 7.26 Mn |
| Sep 30, 2022 | 7.11 Mn |
| Jun 30, 2022 | 7.11 Mn |
Microbot Medical 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=MBOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MBOT", "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=MBOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();