Butterfly Network (BFLY) Shares Outstanding (Diluted) (2020 - 2026)
Butterfly Network's Shares Outstanding (Diluted) was 262.1 million in Q2 2026, up 5.5% from 248.39 million a year earlier and up 2.2% from the prior quarter.
Butterfly Network (BFLY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Butterfly Network came in at 247.12 million, up 16.7% from FY2024.
- 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, 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.
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2020.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 18 straight quarters, with growth averaging 10.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 1.8% in Q1 2023 to 87.9% in Q1 2022.
- Per Business Quant data, BFLY's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 256.52 million (Q1 2026), 247.12 million (Q4 2025) and 252.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 275.16 Mn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 577.60 Mn |
| 10 | Butterfly Network | 1.96 Bn | 1.40 Bn | 23.29 Mn | 262.10 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 196.10 Mn |
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_KEY
import 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();