Butterfly Network (BFLY) Non-Current Assets (2020 - 2026)
Butterfly Network (BFLY) recorded Non-Current Assets of $45.05 million in Q2 2026, down 24.3% from $59.53 million a year earlier and down 2.4% from the prior quarter.
Powered by 
Analysis
Butterfly Network (BFLY) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Butterfly Network reported Non-Current Assets of $47.43 million, down 25.3% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $63.47 million in FY2024 (-13.1%), $73.01 million in FY2023 (+20.8%), $60.43 million in FY2022 (+0.6%) and $60.06 million in FY2021 (+20.5%).
- The Q2 2026 figure is the lowest quarterly Non-Current Assets since Q3 2021.
- On a year-over-year basis, Non-Current Assets has declined for seven consecutive quarters, with an average decline of 17.5% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 92.3% in Q3 2022, against a decline of 91.1% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $46.13 million (Q1 2026), $47.43 million (Q4 2025) and $48.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Butterfly Network | 2.18 Bn | 1.62 Bn | 23.29 Mn | 45.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.05 Mn |
| Mar 31, 2026 | 46.13 Mn |
| Dec 31, 2025 | 47.43 Mn |
| Sep 30, 2025 | 48.61 Mn |
| Jun 30, 2025 | 59.53 Mn |
| Mar 31, 2025 | 61.03 Mn |
| Dec 31, 2024 | 63.47 Mn |
| Sep 30, 2024 | 65.78 Mn |
| Jun 30, 2024 | 68.59 Mn |
| Mar 31, 2024 | 71.02 Mn |
| Dec 31, 2023 | 73.01 Mn |
| Sep 30, 2023 | 65.64 Mn |
| Jun 30, 2023 | 72.76 Mn |
| Mar 31, 2023 | 59.16 Mn |
| Dec 31, 2022 | 60.43 Mn |
| Sep 30, 2022 | 70.79 Mn |
| Jun 30, 2022 | 71.13 Mn |
| Mar 31, 2022 | 61.11 Mn |
| Dec 31, 2021 | 60.06 Mn |
| Sep 30, 2021 | 36.81 Mn |
API Access
Butterfly Network Non-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=non-current-assets&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();