Heartflow (HTFL) Operating Expenses (2024 - 2026)
Heartflow (HTFL) recorded Operating Expenses of $71.09 million in Q2 2026, up 52.9% from $46.49 million a year earlier.
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Analysis
Heartflow (HTFL) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Heartflow's Operating Expenses came in at $224.91 million as of Jun 30, 2026, up 34.9% year-over-year; for FY2025, it was $199.26 million, up 28.0% from FY2024.
- Across earlier years, Operating Expenses came in at $155.67 million in FY2024 (+18.9%) and $130.97 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Heartflow | 4.33 Bn | 4.08 Bn | 53.19 Mn | 71.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.09 Mn |
| Dec 31, 2025 | 56.81 Mn |
| Sep 30, 2025 | 50.51 Mn |
| Jun 30, 2025 | 46.49 Mn |
| Dec 31, 2024 | 42.31 Mn |
| Sep 30, 2024 | 39.87 Mn |
| Jun 30, 2024 | 38.02 Mn |
API Access
Heartflow Operating 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=operating-expenses&ticker=HTFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HTFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();