Heartflow (HTFL) Change in Accrued Expenses (2024 - 2026)
Heartflow's Change in Accured Expenses came in at $3.36 million for Q4 2025, up 1.9% from $3.3 million a year earlier but down 46.0% from the prior quarter.
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Analysis
Heartflow (HTFL) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
For FY2025, Heartflow's Change in Accured Expenses was $9.31 million.
- Going back by year, Change in Accured Expenses was $426,000 in FY2024 (-88.7%) and $3.76 million in FY2023.
- The five-year range for quarterly Change in Accured Expenses is $3.3 million (Q4 2024) to $6.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 30.00 Mn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | - |
| 10 | Heartflow | 4.52 Bn | 4.27 Bn | 53.19 Mn | 6.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.48 Mn |
| Mar 31, 2026 | -7.39 Mn |
| Dec 31, 2025 | 3.36 Mn |
| Sep 30, 2025 | 6.22 Mn |
| Dec 31, 2024 | 3.30 Mn |
| Sep 30, 2024 | 4.02 Mn |
API Access
Heartflow Change in Accrued 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=change-in-accured-expenses&ticker=HTFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HTFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();