Profusa (PFSA) Interest Expenses (2024 - 2026)
Profusa's Interest Expenses was $2.43 million in Q2 2026, up 103.8% from $1.19 million a year earlier.
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Analysis
Profusa (PFSA) Interest Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Profusa's Interest Expenses was $5.28 million through Jun 30, 2026, up 12.6% year-over-year; for FY2025, it was $5.1 million, up 15.2% from FY2024.
- In earlier years, Interest Expenses was $4.42 million in FY2024.
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q3 2024.
- Compared with a year earlier, Interest Expenses was higher in two of the last four quarters, with growth averaging 12.7%.
- Per Business Quant data, PFSA's Interest Expenses in the three quarters before Q2 2026 was $78,000 (Q1 2026), $1.16 million (Q4 2025) and $1.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Profusa | 114,198.48 | -5.77 Mn | - | 2.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Mn |
| Mar 31, 2026 | 78,000.00 |
| Dec 31, 2025 | 1.16 Mn |
| Sep 30, 2025 | 1.61 Mn |
| Jun 30, 2025 | 1.19 Mn |
| Mar 31, 2025 | 1.14 Mn |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 1.07 Mn |
API Access
Profusa Interest 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=interest-expenses&ticker=PFSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "PFSA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();