Butterfly Network (BFLY) Total Non-Current Liabilities (2020 - 2026)
Butterfly Network (BFLY) reported Total Non-Current Liabilities of $85.08 million for Q2 2026, up 19.8% from $70.99 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Butterfly Network (BFLY) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Butterfly Network posted Total Non-Current Liabilities of $92.23 million, up 17.3% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -28.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $78.61 million in FY2024 (+4.4%), $75.33 million in FY2023 (-13.3%), $86.84 million in FY2022 (-11.4%) and $98.05 million in FY2021 (-80.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $69.83 million in Q1 2025 and a high of $101.69 million in Q1 2022.
- Year over year, Total Non-Current Liabilities has now increased in each of the last five quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 30.2%); the low point was Q4 2021 (a decline of 80.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $86.23 million (Q1 2026), $92.23 million (Q4 2025) and $76.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Butterfly Network | 1.96 Bn | 1.40 Bn | 23.29 Mn | 85.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.08 Mn |
| Mar 31, 2026 | 86.23 Mn |
| Dec 31, 2025 | 92.23 Mn |
| Sep 30, 2025 | 76.65 Mn |
| Jun 30, 2025 | 70.99 Mn |
| Mar 31, 2025 | 69.83 Mn |
| Dec 31, 2024 | 75.93 Mn |
| Sep 30, 2024 | 70.86 Mn |
| Jun 30, 2024 | 69.79 Mn |
| Mar 31, 2024 | 71.01 Mn |
| Dec 31, 2023 | 74.50 Mn |
| Sep 30, 2023 | 74.04 Mn |
| Jun 30, 2023 | 80.56 Mn |
| Mar 31, 2023 | 78.57 Mn |
| Dec 31, 2022 | 86.25 Mn |
| Sep 30, 2022 | 81.65 Mn |
| Jun 30, 2022 | 100.99 Mn |
| Mar 31, 2022 | 100.86 Mn |
| Dec 31, 2021 | 97.20 Mn |
| Sep 30, 2021 | 64.25 Mn |
API Access
Butterfly Network Total 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=total-non-current-liabilities&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();