Butterfly Network (BFLY) Accumulated Expenses (2020 - 2026)
Butterfly Network (BFLY) reported Accumulated Expenses of $46.4 million for Q3 2026, up 57.4% from $29.48 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Butterfly Network (BFLY) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Butterfly Network posted Accumulated Expenses of $32.22 million, up 16.3% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $27.7 million in FY2024 (+18.2%), $23.43 million in FY2023 (-10.3%), $26.12 million in FY2022 (+1.9%) and $25.63 million in FY2021 (+16.7%).
- The Q3 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q2 2020.
- Year over year, Accumulated Expenses has now increased in each of the last nine quarters, with growth averaging 31.9% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2022 (growth of 97.2%); the low point was Q1 2023 (a decline of 17.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $39.48 million (Q2 2026), $33.97 million (Q1 2026) and $32.22 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn |
| 10 | Butterfly Network | 1.67 Bn | 1.13 Bn | 23.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.40 Mn |
| Jun 30, 2026 | 39.48 Mn |
| Mar 31, 2026 | 33.97 Mn |
| Dec 31, 2025 | 32.22 Mn |
| Sep 30, 2025 | 29.48 Mn |
| Jun 30, 2025 | 24.33 Mn |
| Mar 31, 2025 | 22.82 Mn |
| Dec 31, 2024 | 27.70 Mn |
| Sep 30, 2024 | 22.59 Mn |
| Jun 30, 2024 | 21.39 Mn |
| Mar 31, 2024 | 21.14 Mn |
| Dec 31, 2023 | 23.43 Mn |
| Sep 30, 2023 | 21.93 Mn |
| Jun 30, 2023 | 23.20 Mn |
| Mar 31, 2023 | 23.90 Mn |
| Dec 31, 2022 | 26.12 Mn |
| Sep 30, 2022 | 25.33 Mn |
| Jun 30, 2022 | 25.00 Mn |
| Mar 31, 2022 | 28.92 Mn |
| Dec 31, 2021 | 25.63 Mn |
API Access
Butterfly Network Accumulated Expenses 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=accumulated-expenses&ticker=BFLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();