Butterfly Network (BFLY) Cost of Revenue (2020 - 2026)
Butterfly Network (BFLY) recorded Cost of Revenue of $8.8 million in Q3 2026, down 65.2% from $25.25 million a year earlier and down 5.7% from the prior quarter.
Butterfly Network (BFLY) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Butterfly Network's Cost of Revenue came in at $36.66 million as of Sep 30, 2026, down 27.0% year-over-year; for FY2025, it came in at $51.88 million, up 56.1% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $33.23 million in FY2024 (-32.3%), $49.04 million in FY2023 (+44.5%), $33.93 million in FY2022 (-25.4%) and $45.51 million in FY2021 (-57.7%).
- Quarterly Cost of Revenue has ranged from $6.04 million in Q3 2023 to $29.05 million in Q4 2023 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in five of the last eight quarters, with growth averaging 13.0%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 208.2% in Q4 2023, against a decline of 70.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.32 million (Q2 2026), $8.25 million (Q1 2026) and $10.29 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.25 Bn | 238.76 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.17 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 164.19 Bn | 143.84 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 161.04 Bn | 141.33 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 131.95 Bn | 97.20 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 125.10 Bn | 111.29 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 63.84 Bn | 59.28 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 60.08 Bn | 43.28 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Becton Dickinson | 59.15 Bn | 56.30 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Butterfly Network | 1.76 Bn | 1.23 Bn | 23.80 Mn | 8.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.80 Mn |
| Jun 30, 2026 | 9.32 Mn |
| Mar 31, 2026 | 8.25 Mn |
| Dec 31, 2025 | 10.29 Mn |
| Sep 30, 2025 | 25.25 Mn |
| Jun 30, 2025 | 8.49 Mn |
| Mar 31, 2025 | 7.85 Mn |
| Dec 31, 2024 | 8.62 Mn |
| Sep 30, 2024 | 8.33 Mn |
| Jun 30, 2024 | 8.90 Mn |
| Mar 31, 2024 | 7.38 Mn |
| Dec 31, 2023 | 29.05 Mn |
| Sep 30, 2023 | 6.04 Mn |
| Jun 30, 2023 | 7.57 Mn |
| Mar 31, 2023 | 6.39 Mn |
| Dec 31, 2022 | 9.43 Mn |
| Sep 30, 2022 | 8.63 Mn |
| Jun 30, 2022 | 8.64 Mn |
| Mar 31, 2022 | 7.23 Mn |
| Dec 31, 2021 | 11.45 Mn |
Butterfly Network Cost of Revenue 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=cost-of-revenue&ticker=BFLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();