Profusa (PFSA) Debt Ratio (2023 - 2026)
Profusa's (PFSA) Debt Ratio came in at 8.49 for Q2 2026, down 56.3% from 19.46 a year earlier and down 5.3% from the prior quarter.
Analysis
Profusa (PFSA) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2025, Profusa's Debt Ratio stood at 0.62, down 95.9% from FY2024.
- In prior years, Profusa's Debt Ratio was 15.24 in FY2024 and 0.09 in FY2023.
- Quarterly Debt Ratio has run from a low of 0.03 in Q2 2023 to a high of 19.46 in Q2 2025 over five years.
- On a year-over-year basis, Debt Ratio has declined in each of the last three quarters, with growth averaging 122.9% over the last five quarters.
- According to Business Quant data, Debt Ratio for the three prior quarters was 8.97 (Q1 2026), 0.62 (Q4 2025) and 1.25 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 0.38 |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 0.30 |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 0.31 |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 0.28 |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 0.33 |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 0.04 |
| 10 | Profusa | 97,472.44 | -5.78 Mn | - | 8.49 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.49 |
| Mar 31, 2026 | 8.97 |
| Dec 31, 2025 | 0.62 |
| Sep 30, 2025 | 1.25 |
| Jun 30, 2025 | 19.46 |
| Mar 31, 2025 | 18.03 |
| Dec 31, 2024 | 15.24 |
| Sep 30, 2024 | 0.18 |
| Jun 30, 2024 | 0.18 |
| Mar 31, 2024 | 0.15 |
| Dec 31, 2023 | 0.09 |
| Sep 30, 2023 | 0.06 |
| Jun 30, 2023 | 0.03 |
API Access
Profusa Debt Ratio 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=debt-ratio&ticker=PFSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();