Hyperfine (HYPR) Shares Outstanding (Diluted) (2021 - 2026)
Hyperfine (HYPR) posted Shares Outstanding (Diluted) of 99.8 million for Q2 2026, up 27.8% from 78.08 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Hyperfine (HYPR) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Hyperfine's Shares Outstanding (Diluted) came in at 81.8 million, up 13.0% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three consecutive years, with a four-year compound annual growth rate of 117.0% (FY2021 to FY2025).
- In prior years, Hyperfine's Shares Outstanding (Diluted) was 72.41 million in FY2024 (+1.5%), 71.32 million in FY2023 (+1.2%), 70.45 million in FY2022 and 3.69 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 14 quarters, with growth averaging 11.9% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.8% (Q1 2023) and 29.1% (Q1 2026) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 97.7 million (Q1 2026), 81.8 million (Q4 2025) and 79.03 million (Q3 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 | Hyperfine | 73.70 Mn | -67.19 Mn | 1.98 Mn | 99.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.80 Mn |
| Mar 31, 2026 | 97.70 Mn |
| Dec 31, 2025 | 81.80 Mn |
| Sep 30, 2025 | 79.03 Mn |
| Jun 30, 2025 | 78.08 Mn |
| Mar 31, 2025 | 75.70 Mn |
| Dec 31, 2024 | 72.41 Mn |
| Sep 30, 2024 | 72.68 Mn |
| Jun 30, 2024 | 72.04 Mn |
| Mar 31, 2024 | 71.93 Mn |
| Dec 31, 2023 | 71.32 Mn |
| Sep 30, 2023 | 71.46 Mn |
| Jun 30, 2023 | 71.20 Mn |
| Mar 31, 2023 | 70.86 Mn |
| Dec 31, 2022 | 70.45 Mn |
| Sep 30, 2022 | 70.51 Mn |
| Jun 30, 2022 | 70.35 Mn |
| Mar 31, 2022 | 70.33 Mn |
| Dec 31, 2021 | 3.69 Mn |
| Sep 30, 2021 | 1.89 Mn |
API Access
Hyperfine 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=HYPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HYPR", "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=HYPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();