Butterfly Network (BFLY) Other Non-Current Assets (2020 - 2026)
Butterfly Network (BFLY) posted Other Non-Current Assets of $5.71 million for Q2 2026, down 0.5% from $5.74 million a year earlier but up 1.0% from the prior quarter.
Butterfly Network (BFLY) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Butterfly Network's Other Non-Current Assets came in at $5.67 million, down 1.6% from FY2024.
- Annual Other Non-Current Assets has declined for four consecutive years, though with a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In prior years, Butterfly Network's Other Non-Current Assets was $5.76 million in FY2024 (-10.3%), $6.42 million in FY2023 (-14.8%), $7.54 million in FY2022 (-11.3%) and $8.49 million in FY2021 (+51.7%).
- Quarterly Other Non-Current Assets has run from a low of $5.65 million in Q3 2024 to a high of $8.49 million in Q4 2021 over five years.
- On a year-over-year basis, Other Non-Current Assets has declined in each of the last three quarters, with an average decline of 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q1 2022, with growth of 194.3%; the weakest was Q2 2024, with a decline of 22.4%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $5.65 million (Q1 2026), $5.67 million (Q4 2025) and $5.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 46.62 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 2.55 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 616.40 Mn |
| 10 | Butterfly Network | 1.96 Bn | 1.40 Bn | 23.29 Mn | 5.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.71 Mn |
| Mar 31, 2026 | 5.65 Mn |
| Dec 31, 2025 | 5.67 Mn |
| Sep 30, 2025 | 5.72 Mn |
| Jun 30, 2025 | 5.74 Mn |
| Mar 31, 2025 | 5.74 Mn |
| Dec 31, 2024 | 5.76 Mn |
| Sep 30, 2024 | 5.65 Mn |
| Jun 30, 2024 | 5.85 Mn |
| Mar 31, 2024 | 6.13 Mn |
| Dec 31, 2023 | 6.42 Mn |
| Sep 30, 2023 | 6.45 Mn |
| Jun 30, 2023 | 7.54 Mn |
| Mar 31, 2023 | 7.62 Mn |
| Dec 31, 2022 | 7.54 Mn |
| Sep 30, 2022 | 7.39 Mn |
| Jun 30, 2022 | 7.40 Mn |
| Mar 31, 2022 | 7.37 Mn |
| Dec 31, 2021 | 8.49 Mn |
| Sep 30, 2021 | 6.84 Mn |
Butterfly Network Other 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=other-non-current-assets&ticker=BFLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();