Butterfly Network (BFLY) Restructuring Costs (2022 - 2024)
Butterfly Network's Restructuring Costs was $1.25 million in Q3 2024, down 73.6% from $4.76 million a year earlier.
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Analysis
Butterfly Network (BFLY) Restructuring Costs (2022 - 2024) Analysis & Trends
On a trailing twelve-month basis, Butterfly Network's Restructuring Costs was $9.99 million through Sep 30, 2024, up 13.6% year-over-year; for FY2023, it came in at $17.4 million, up 761.9% from FY2022.
- In earlier years, Restructuring Costs was $2.02 million in FY2022.
- Quarterly Restructuring Costs has moved between -$56,000 (Q1 2024) and $8.77 million (Q4 2023) over five years.
- Per Business Quant data, BFLY's Restructuring Costs in the three quarters before Q3 2024 was $26,000 (Q2 2024), -$56,000 (Q1 2024) and $8.77 million (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Butterfly Network | 2.18 Bn | 1.62 Bn | 23.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 1.25 Mn |
| Jun 30, 2024 | 26,000.00 |
| Mar 31, 2024 | -56,000.00 |
| Dec 31, 2023 | 8.77 Mn |
| Sep 30, 2023 | 4.76 Mn |
| Jun 30, 2023 | 261,000.00 |
| Mar 31, 2023 | 3.62 Mn |
| Dec 31, 2022 | 159,000.00 |
| Sep 30, 2022 | 1.86 Mn |
API Access
Butterfly Network Restructuring Costs 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=restructuring-costs&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();