Butterfly Network (BFLY) Receivables - Net (2020 - 2026)
Butterfly Network's Receivables - Net came in at $34.55 million for Q2 2026, up 40.9% from $24.53 million a year earlier and up 37.1% from the prior quarter.
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Analysis
Butterfly Network (BFLY) Receivables - Net (2020 - 2026) Analysis & Trends
At the end of FY2025, Butterfly Network's Receivables - Net was $26.74 million, up 28.6% from FY2024.
- Receivables - Net carries a five-year compound annual growth rate of 36.0% (FY2020 to FY2025).
- Going back by year, Receivables - Net was $20.79 million in FY2024 (+55.0%), $13.42 million in FY2023 (-8.6%), $14.69 million in FY2022 (+23.0%) and $11.94 million in FY2021 (+107.5%).
- The Q2 2026 figure represents the highest quarterly Receivables - Net in data going back to Q4 2020.
- Year-over-year, Receivables - Net has increased for eight consecutive quarters, with growth averaging 39.5% over the last eight quarters.
- The fastest year-over-year change in Receivables - Net over five years came in Q1 2022 (growth of 149.6%), and the weakest in Q2 2024 (a decline of 9.4%).
- Business Quant data shows BFLY's Receivables - Net at $25.21 million (Q1 2026), $26.74 million (Q4 2025) and $24.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn |
| 10 | Butterfly Network | 1.96 Bn | 1.40 Bn | 23.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.55 Mn |
| Mar 31, 2026 | 25.21 Mn |
| Dec 31, 2025 | 26.74 Mn |
| Sep 30, 2025 | 24.42 Mn |
| Jun 30, 2025 | 24.53 Mn |
| Mar 31, 2025 | 19.88 Mn |
| Dec 31, 2024 | 20.79 Mn |
| Sep 30, 2024 | 20.62 Mn |
| Jun 30, 2024 | 16.11 Mn |
| Mar 31, 2024 | 13.91 Mn |
| Dec 31, 2023 | 13.42 Mn |
| Sep 30, 2023 | 13.65 Mn |
| Jun 30, 2023 | 17.78 Mn |
| Mar 31, 2023 | 13.48 Mn |
| Dec 31, 2022 | 14.69 Mn |
| Sep 30, 2022 | 11.81 Mn |
| Jun 30, 2022 | 12.69 Mn |
| Mar 31, 2022 | 13.07 Mn |
| Dec 31, 2021 | 11.94 Mn |
| Sep 30, 2021 | 9.54 Mn |
API Access
Butterfly Network Receivables - Net 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=receivables-net&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();