Butterfly Network (BFLY) Return on Sales [ROS] (2020 - 2026)
Butterfly Network (BFLY) reported Return on Sales [ROS] of -41.90% for Q2 2026, up 26.95 percentage points from -68.85% a year earlier and up 10.39 percentage points from the prior quarter.
Butterfly Network (BFLY) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Butterfly Network's Return on Sales [ROS] came in at -70.79%, up 8.20 percentage points year-over-year; for FY2025, it came in at -88.53%, up 2.15 percentage points from FY2024.
- Return on Sales [ROS] has increased for six consecutive years, with a five-year change of +260.90 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -90.68% in FY2024 (+130.27 pp), -220.96% in FY2023 (+42.05 pp), -263.01% in FY2022 (+45.04 pp) and -308.04% in FY2021 (+41.39 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q1 2020.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +48.96 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2021 (a gain of 516.29 percentage points); the low point was Q4 2021 (a drop of 96.73 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -52.29% (Q1 2026), -53.03% (Q4 2025) and -163.50% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 13.31% |
| 10 | Butterfly Network | 2.03 Bn | 1.47 Bn | 23.29 Mn | -41.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -41.90% |
| Mar 31, 2026 | -52.29% |
| Dec 31, 2025 | -53.03% |
| Sep 30, 2025 | -163.50% |
| Jun 30, 2025 | -68.85% |
| Mar 31, 2025 | -87.01% |
| Dec 31, 2024 | -77.46% |
| Sep 30, 2024 | -83.88% |
| Jun 30, 2024 | -80.20% |
| Mar 31, 2024 | -128.12% |
| Dec 31, 2023 | -282.94% |
| Sep 30, 2023 | -211.16% |
| Jun 30, 2023 | -169.11% |
| Mar 31, 2023 | -226.46% |
| Dec 31, 2022 | -258.14% |
| Sep 30, 2022 | -234.64% |
| Jun 30, 2022 | -252.17% |
| Mar 31, 2022 | -318.05% |
| Dec 31, 2021 | -238.61% |
| Sep 30, 2021 | -389.76% |
Butterfly Network Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BFLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BFLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();