Profusa (PFSA) Convertible Debt (2023 - 2026)
Profusa (PFSA) posted Convertible Debt of $2.6 million for Q2 2026, up 4.0% from the prior quarter.
Analysis
Profusa (PFSA) Convertible Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, Profusa's Convertible Debt came in at $2.3 million, up 4.5% from FY2024.
- In prior years, Profusa's Convertible Debt was $2.2 million in FY2024 (+133.0%) and $944,118 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Convertible Debt in data going back to Q2 2023.
- According to Business Quant data, Convertible Debt for the three prior quarters was $2.5 million (Q1 2026), $2.3 million (Q4 2025) and $2.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Profusa | 97,472.44 | -5.78 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.60 Mn |
| Mar 31, 2026 | 2.50 Mn |
| Dec 31, 2025 | 2.30 Mn |
| Sep 30, 2025 | 2.10 Mn |
| Dec 31, 2024 | 2.20 Mn |
| Sep 30, 2024 | 1.70 Mn |
| Dec 31, 2023 | 944,118.00 |
| Sep 30, 2023 | 601,239.00 |
| Jun 30, 2023 | 310,999.00 |
API Access
Profusa Convertible Debt 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=convertible-debt&ticker=PFSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();