Butterfly Network (BFLY) Current Assets (2020 - 2026)
Butterfly Network's Current Assets was $237.95 million in Q2 2026, down 6.2% from $253.75 million a year earlier and down 0.8% from the prior quarter.
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Analysis
Butterfly Network (BFLY) Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Current Assets at Butterfly Network came in at $249.1 million, up 29.3% from FY2024.
- Current Assets shows a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- In earlier years, Current Assets was $192.61 million in FY2024 (-16.7%), $231.26 million in FY2023 (-35.2%), $357.14 million in FY2022 (-30.2%) and $511.9 million in FY2021 (+425.9%).
- The Q2 2026 figure marks the lowest quarterly Current Assets since Q4 2024.
- Compared with a year earlier, Current Assets was higher in four of the last eight quarters, with growth averaging 5.0%.
- The best year-over-year quarter for Current Assets over five years was Q4 2021 (growth of 425.9%); the worst was Q4 2023 (a decline of 35.2%).
- Per Business Quant data, BFLY's Current Assets in the three quarters before Q2 2026 was $239.79 million (Q1 2026), $249.1 million (Q4 2025) and $241.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 23.37 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 24.52 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.38 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 9.54 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 24.39 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 14.42 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 7.97 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 8.14 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 6.82 Bn |
| 10 | Butterfly Network | 2.18 Bn | 1.62 Bn | 23.29 Mn | 237.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 237.95 Mn |
| Mar 31, 2026 | 239.79 Mn |
| Dec 31, 2025 | 249.10 Mn |
| Sep 30, 2025 | 241.39 Mn |
| Jun 30, 2025 | 253.75 Mn |
| Mar 31, 2025 | 257.38 Mn |
| Dec 31, 2024 | 192.61 Mn |
| Sep 30, 2024 | 199.49 Mn |
| Jun 30, 2024 | 204.48 Mn |
| Mar 31, 2024 | 213.27 Mn |
| Dec 31, 2023 | 231.26 Mn |
| Sep 30, 2023 | 268.59 Mn |
| Jun 30, 2023 | 291.83 Mn |
| Mar 31, 2023 | 322.52 Mn |
| Dec 31, 2022 | 357.14 Mn |
| Sep 30, 2022 | 372.47 Mn |
| Jun 30, 2022 | 425.51 Mn |
| Mar 31, 2022 | 474.31 Mn |
| Dec 31, 2021 | 511.90 Mn |
| Sep 30, 2021 | 543.51 Mn |
API Access
Butterfly Network Current Assets 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=current-assets&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();