Butterfly Network (BFLY) Payables (2020 - 2026)
Butterfly Network (BFLY) posted Payables of $3.52 million for Q2 2026, up 6.0% from $3.32 million a year earlier and up 24.9% from the prior quarter.
Butterfly Network (BFLY) Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Butterfly Network's Payables came in at $5.44 million, up 28.0% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of -19.8% (FY2020 to FY2025).
- In prior years, Butterfly Network's Payables was $4.25 million in FY2024 (-16.5%), $5.09 million in FY2023 (-29.4%), $7.21 million in FY2022 (+24.4%) and $5.8 million in FY2021 (-64.6%).
- Quarterly Payables has run from a low of $2.28 million in Q1 2025 to a high of $8.39 million in Q2 2023 over five years.
- On a year-over-year basis, Payables has increased in each of the last three quarters, with an average decline of 13.8% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q3 2023, with growth of 202.7%; the weakest was Q4 2021, with a decline of 64.6%.
- According to Business Quant data, Payables for the three prior quarters was $2.82 million (Q1 2026), $5.44 million (Q4 2025) and $3.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 3.09 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 5.75 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 1.74 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 279.50 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 1.97 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 1.25 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 199.70 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Butterfly Network | 1.67 Bn | 1.13 Bn | 23.80 Mn | 5.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.66 Mn |
| Jun 30, 2026 | 3.52 Mn |
| Mar 31, 2026 | 2.82 Mn |
| Dec 31, 2025 | 5.44 Mn |
| Sep 30, 2025 | 3.31 Mn |
| Jun 30, 2025 | 3.32 Mn |
| Mar 31, 2025 | 2.28 Mn |
| Dec 31, 2024 | 4.25 Mn |
| Sep 30, 2024 | 3.65 Mn |
| Jun 30, 2024 | 4.51 Mn |
| Mar 31, 2024 | 5.81 Mn |
| Dec 31, 2023 | 5.09 Mn |
| Sep 30, 2023 | 8.10 Mn |
| Jun 30, 2023 | 8.39 Mn |
| Mar 31, 2023 | 5.43 Mn |
| Dec 31, 2022 | 7.21 Mn |
| Sep 30, 2022 | 2.68 Mn |
| Jun 30, 2022 | 3.52 Mn |
| Mar 31, 2022 | 2.68 Mn |
| Dec 31, 2021 | 5.80 Mn |
Butterfly Network Payables 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=payables&ticker=BFLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();