Butterfly Network (BFLY) Cash & Equivalents (2020 - 2026)
Butterfly Network (BFLY) posted Cash & Equivalents of $124.66 million for Q2 2026, down 15.8% from $148.14 million a year earlier and down 9.6% from the prior quarter.
Butterfly Network (BFLY) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Butterfly Network's Cash & Equivalents came in at $150.49 million, up 69.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In prior years, Butterfly Network's Cash & Equivalents was $88.78 million in FY2024 (-34.0%), $134.44 million in FY2023 (-17.3%), $162.56 million in FY2022 (-61.6%) and $422.84 million in FY2021 (+602.3%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q4 2024.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 13.5%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 602.3%; the weakest was Q4 2022, with a decline of 61.6%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $137.95 million (Q1 2026), $150.49 million (Q4 2025) and $144.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Butterfly Network | 1.96 Bn | 1.40 Bn | 23.29 Mn | 124.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.66 Mn |
| Mar 31, 2026 | 137.95 Mn |
| Dec 31, 2025 | 150.49 Mn |
| Sep 30, 2025 | 144.23 Mn |
| Jun 30, 2025 | 148.14 Mn |
| Mar 31, 2025 | 155.21 Mn |
| Dec 31, 2024 | 88.78 Mn |
| Sep 30, 2024 | 93.76 Mn |
| Jun 30, 2024 | 102.05 Mn |
| Mar 31, 2024 | 112.65 Mn |
| Dec 31, 2023 | 134.44 Mn |
| Sep 30, 2023 | 150.01 Mn |
| Jun 30, 2023 | 166.81 Mn |
| Mar 31, 2023 | 193.81 Mn |
| Dec 31, 2022 | 162.56 Mn |
| Sep 30, 2022 | 193.31 Mn |
| Jun 30, 2022 | 310.80 Mn |
| Mar 31, 2022 | 359.90 Mn |
| Dec 31, 2021 | 422.84 Mn |
| Sep 30, 2021 | 153.33 Mn |
Butterfly Network Cash & Equivalents 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=cash-and-equivalents&ticker=BFLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();