Butterfly Network (BFLY) Preferred Stock Liabilities (2020)
Butterfly Network's Preferred Stock Liabilities was $360.94 million in Q4 2020, down 3.8% from the prior quarter.
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Analysis
Butterfly Network (BFLY) Preferred Stock Liabilities (2020) Analysis & Trends
From Q1 2020 onward, Butterfly Network has reported Preferred Stock Liabilities for 4 quarters.
- In earlier years, Preferred Stock Liabilities was $360.94 million in FY2019.
- Quarterly Preferred Stock Liabilities has moved between $360.94 million (Q1 2020) and $383.56 million (Q2 2020) over five years.
- Per Business Quant data, BFLY's Preferred Stock Liabilities in the three quarters before Q4 2020 was $375.39 million (Q3 2020), $383.56 million (Q2 2020) and $360.94 million (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Preferred Stock Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Butterfly Network | 2.13 Bn | 1.58 Bn | 23.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 360.94 Mn |
| Sep 30, 2020 | 375.39 Mn |
| Jun 30, 2020 | 383.56 Mn |
| Mar 31, 2020 | 360.94 Mn |
API Access
Butterfly Network Preferred Stock 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=preferred-stock-liabilities&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-stock-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=preferred-stock-liabilities&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();