Heartflow (HTFL) Net Margin (2024 - 2026)
Heartflow (HTFL) reported Net Margin of -24.57% for Q2 2026, down 3.39 percentage points from -21.18% a year earlier.
Heartflow (HTFL) Net Margin (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Heartflow's Net Margin came in at -49.38%, up 10.10 percentage points year-over-year; for FY2025, it was -66.35%, up 10.30 percentage points from FY2024.
- By year, Net Margin came in at -76.65% in FY2024 (+65.24 pp) and -141.89% in FY2023.
- Five-year quarterly Net Margin spans a low of -109.89% in Q3 2025 and a high of -21.18% in Q2 2025.
- Year over year, Net Margin gained in two of the last four quarters, with an average year-over-year change of +10.89 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.89% |
| 10 | Heartflow | 4.33 Bn | 4.08 Bn | 53.19 Mn | -24.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -24.57% |
| Dec 31, 2025 | -49.65% |
| Sep 30, 2025 | -109.89% |
| Jun 30, 2025 | -21.18% |
| Dec 31, 2024 | -94.28% |
| Sep 30, 2024 | -58.12% |
| Jun 30, 2024 | -75.28% |
Heartflow Net Margin 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=net-margin&ticker=HTFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "HTFL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=HTFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();