Butterfly Network (BFLY) Shares Outstanding (Diluted) (2020 - 2026)
Butterfly Network's Weighted Average Shares Outstanding (Diluted) was 262.1 million in Q3 2026, up 4.0% from 252.09 million a year earlier and unchanged from the prior quarter.
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Analysis
Butterfly Network (BFLY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Butterfly Network came in at 247.12 million, up 16.7% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for four consecutive years, with a five-year compound annual growth rate of 110.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 211.68 million in FY2024 (+3.1%), 205.39 million in FY2023 (+2.8%), 199.85 million in FY2022 (+15.0%) and 173.81 million in FY2021.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 19 straight quarters, with growth averaging 10.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding (Diluted) ran from 1.8% in Q1 2023 to 87.9% in Q1 2022.
- Per Business Quant data, BFLY's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 262.1 million (Q2 2026), 256.52 million (Q1 2026) and 247.12 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 706.80 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 386.00 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Butterfly Network | 1.67 Bn | 1.13 Bn | 23.80 Mn | 262.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 262.10 Mn |
| Jun 30, 2026 | 262.10 Mn |
| Mar 31, 2026 | 256.52 Mn |
| Dec 31, 2025 | 247.12 Mn |
| Sep 30, 2025 | 252.09 Mn |
| Jun 30, 2025 | 248.39 Mn |
| Mar 31, 2025 | 234.92 Mn |
| Dec 31, 2024 | 211.68 Mn |
| Sep 30, 2024 | 212.77 Mn |
| Jun 30, 2024 | 211.66 Mn |
| Mar 31, 2024 | 208.87 Mn |
| Dec 31, 2023 | 205.39 Mn |
| Sep 30, 2023 | 206.74 Mn |
| Jun 30, 2023 | 204.90 Mn |
| Mar 31, 2023 | 202.57 Mn |
| Dec 31, 2022 | 199.85 Mn |
| Sep 30, 2022 | 200.17 Mn |
| Jun 30, 2022 | 199.40 Mn |
| Mar 31, 2022 | 199.00 Mn |
| Dec 31, 2021 | 173.81 Mn |
API Access
Butterfly Network 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=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BFLY", "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=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();