Butterfly Network (BFLY) Total Current Liabilities (2020 - 2026)
Butterfly Network (BFLY) posted Total Current Liabilities of $58.6 million for Q2 2026, up 31.2% from $44.67 million a year earlier but down 1.6% from the prior quarter.
Butterfly Network (BFLY) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Butterfly Network's Total Current Liabilities came in at $65.12 million, up 35.1% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In prior years, Butterfly Network's Total Current Liabilities was $48.22 million in FY2024 (+8.9%), $44.27 million in FY2023 (-13.8%), $51.33 million in FY2022 (+3.0%) and $49.83 million in FY2021 (-28.5%).
- Quarterly Total Current Liabilities has run from a low of $40.78 million in Q2 2024 to a high of $65.12 million in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last seven quarters, with growth averaging 17.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2026, with growth of 40.3%; the weakest was Q4 2021, with a decline of 28.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $59.58 million (Q1 2026), $65.12 million (Q4 2025) and $50.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Butterfly Network | 1.96 Bn | 1.40 Bn | 23.29 Mn | 58.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.60 Mn |
| Mar 31, 2026 | 59.58 Mn |
| Dec 31, 2025 | 65.12 Mn |
| Sep 30, 2025 | 50.33 Mn |
| Jun 30, 2025 | 44.67 Mn |
| Mar 31, 2025 | 42.48 Mn |
| Dec 31, 2024 | 48.22 Mn |
| Sep 30, 2024 | 42.79 Mn |
| Jun 30, 2024 | 40.78 Mn |
| Mar 31, 2024 | 41.54 Mn |
| Dec 31, 2023 | 44.27 Mn |
| Sep 30, 2023 | 45.36 Mn |
| Jun 30, 2023 | 45.84 Mn |
| Mar 31, 2023 | 44.79 Mn |
| Dec 31, 2022 | 51.33 Mn |
| Sep 30, 2022 | 45.88 Mn |
| Jun 30, 2022 | 62.21 Mn |
| Mar 31, 2022 | 50.71 Mn |
| Dec 31, 2021 | 49.83 Mn |
| Sep 30, 2021 | 45.17 Mn |
Butterfly Network Total 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-current-liabilities&ticker=BFLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();