Butterfly Network (BFLY) Other Non-Current Liabilities (2020 - 2026)
Butterfly Network's Other Non-Current Liabilities was $8.51 million in Q2 2026, down 10.2% from $9.48 million a year earlier but up 0.5% from the prior quarter.
Butterfly Network (BFLY) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Butterfly Network came in at $8.33 million, down 3.6% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 31.1% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $8.64 million in FY2024 (-2.9%), $8.9 million in FY2023 (+65.6%), $5.37 million in FY2022 (-79.5%) and $26.23 million in FY2021.
- Quarterly Other Non-Current Liabilities has moved between $1.45 million (Q3 2023) and $56.8 million (Q3 2021) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has declined for four straight quarters, with growth averaging 80.0% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q3 2024 (growth of 655.9%); the worst was Q2 2022 (a decline of 91.7%).
- Per Business Quant data, BFLY's Other Non-Current Liabilities in the three quarters before Q2 2026 was $8.47 million (Q1 2026), $8.33 million (Q4 2025) and $9.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Butterfly Network | 2.17 Bn | 1.61 Bn | 23.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.51 Mn |
| Mar 31, 2026 | 8.47 Mn |
| Dec 31, 2025 | 8.33 Mn |
| Sep 30, 2025 | 9.52 Mn |
| Jun 30, 2025 | 9.48 Mn |
| Mar 31, 2025 | 8.88 Mn |
| Dec 31, 2024 | 8.64 Mn |
| Sep 30, 2024 | 10.93 Mn |
| Jun 30, 2024 | 8.58 Mn |
| Mar 31, 2024 | 8.24 Mn |
| Dec 31, 2023 | 8.90 Mn |
| Sep 30, 2023 | 1.45 Mn |
| Jun 30, 2023 | 4.96 Mn |
| Mar 31, 2023 | 5.58 Mn |
| Dec 31, 2022 | 5.37 Mn |
| Sep 30, 2022 | 17.35 Mn |
| Jun 30, 2022 | 8.26 Mn |
| Mar 31, 2022 | 21.07 Mn |
| Dec 31, 2021 | 26.23 Mn |
| Sep 30, 2021 | 56.80 Mn |
Butterfly Network Other Non-Current Liabilities 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-liabilities&ticker=BFLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();