Butterfly Network (BFLY) Receivables (2020 - 2026)
Butterfly Network's Receivables was $34.55 million in 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 (2020 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Butterfly Network came in at $26.74 million, up 28.6% from FY2024.
- Receivables shows a five-year compound annual growth rate of 35.8% (FY2020 to FY2025).
- In earlier years, Receivables was $20.79 million in FY2024 (+55.0%), $13.42 million in FY2023 (-9.5%), $14.83 million in FY2022 (+24.2%) and $11.94 million in FY2021 (+106.1%).
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2020.
- Compared with a year earlier, Receivables has increased for eight straight quarters, with growth averaging 39.5% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q1 2022 (growth of 149.6%); the worst was Q4 2023 (a decline of 9.5%).
- Per Business Quant data, BFLY's Receivables in the three quarters before Q2 2026 was $25.21 million (Q1 2026), $26.74 million (Q4 2025) and $24.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Butterfly Network | 2.18 Bn | 1.62 Bn | 23.29 Mn | 34.55 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 | 14.83 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 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&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();