Cardio Diagnostics Holdings (CDIO) Shares Outstanding (Entity) (2021 - 2026)
Cardio Diagnostics Holdings' Shares Outstanding (Entity) came in at 2.96 million for Q2 2026, up 70.1% from 1.74 million a year earlier and unchanged from the prior quarter.
Cardio Diagnostics Holdings (CDIO) Shares Outstanding (Entity) (2021 - 2026) Analysis & Trends
For FY2025, Cardio Diagnostics Holdings' Shares Outstanding (Entity) was 1.83 million, down 93.2% from FY2024.
- Shares Outstanding (Entity) carries a four-year compound annual growth rate of 11.9% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 26.89 million in FY2024 (+112.0%), 12.69 million in FY2023 (+310.8%), 3.09 million in FY2022 (+165.4%) and 1.16 million in FY2021.
- The five-year range for quarterly Shares Outstanding (Entity) is 1.16 million (Q4 2021) to 26.89 million (Q4 2024).
- Year-over-year, Shares Outstanding (Entity) increased in four of the last eight quarters, with an average decline of 3.9%.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q4 2023 (growth of 310.8%), and the weakest in Q4 2025 (a decline of 93.2%).
- Business Quant data shows CDIO's Shares Outstanding (Entity) at 2.96 million (Q1 2026), 1.83 million (Q4 2025) and 1.77 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 369.75 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 1.73 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 702.90 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 353.90 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 383.57 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 576.60 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 272.39 Mn |
| 10 | Cardio Diagnostics Holdings | 5.53 Mn | -18.60 Mn | - | 2.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.96 Mn |
| Mar 31, 2026 | 2.96 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 30, 2025 | 1.77 Mn |
| Jun 30, 2025 | 1.74 Mn |
| Mar 31, 2025 | 1.74 Mn |
| Dec 31, 2024 | 26.89 Mn |
| Sep 30, 2024 | 24.44 Mn |
| Jun 30, 2024 | 22.61 Mn |
| Mar 31, 2024 | 21.08 Mn |
| Dec 31, 2023 | 12.69 Mn |
| Sep 30, 2023 | 13.12 Mn |
| Jun 30, 2023 | 11.18 Mn |
| Mar 31, 2023 | 9.62 Mn |
| Dec 31, 2022 | 3.09 Mn |
| Sep 30, 2022 | 6.50 Mn |
| Jun 30, 2022 | 6.50 Mn |
| Mar 31, 2022 | 6.50 Mn |
| Dec 31, 2021 | 1.16 Mn |
Cardio Diagnostics Holdings Shares Outstanding (Entity) 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-entity&ticker=CDIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "CDIO", "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-entity&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();