Butterfly Network (BFLY) Revenue (2020 - 2026)
Butterfly Network (BFLY) reported Revenue of $32.61 million for Q2 2026, up 39.5% from $23.38 million a year earlier and up 22.9% from the prior quarter.
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Analysis
Butterfly Network (BFLY) Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Butterfly Network's Revenue came in at $112.15 million, up 28.1% year-over-year; for FY2025, it came in at $97.61 million, up 19.0% from FY2024.
- Revenue has a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- By year, Revenue came in at $82.06 million in FY2024 (+24.5%), $65.9 million in FY2023 (-10.2%), $73.39 million in FY2022 (+17.3%) and $62.57 million in FY2021 (+35.3%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q1 2020.
- Year over year, Revenue has now increased in each of the last ten quarters, with growth averaging 26.0% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q3 2021 (growth of 44.3%); the low point was Q3 2023 (a decline of 21.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $26.53 million (Q1 2026), $31.51 million (Q4 2025) and $21.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Butterfly Network | 2.17 Bn | 1.61 Bn | 23.29 Mn | 32.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.61 Mn |
| Mar 31, 2026 | 26.53 Mn |
| Dec 31, 2025 | 31.51 Mn |
| Sep 30, 2025 | 21.49 Mn |
| Jun 30, 2025 | 23.38 Mn |
| Mar 31, 2025 | 21.23 Mn |
| Dec 31, 2024 | 22.35 Mn |
| Sep 30, 2024 | 20.56 Mn |
| Jun 30, 2024 | 21.49 Mn |
| Mar 31, 2024 | 17.66 Mn |
| Dec 31, 2023 | 16.52 Mn |
| Sep 30, 2023 | 15.42 Mn |
| Jun 30, 2023 | 18.49 Mn |
| Mar 31, 2023 | 15.48 Mn |
| Dec 31, 2022 | 18.98 Mn |
| Sep 30, 2022 | 19.62 Mn |
| Jun 30, 2022 | 19.22 Mn |
| Mar 31, 2022 | 15.57 Mn |
| Dec 31, 2021 | 18.99 Mn |
| Sep 30, 2021 | 14.62 Mn |
API Access
Butterfly Network Revenue 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=revenue&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();