Profusa (PFSA) Total Liabilities (2021 - 2026)
Profusa (PFSA) recorded Total Liabilities of $28.17 million in Q2 2026, down 77.7% from $126.14 million a year earlier and down 3.1% from the prior quarter.
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Analysis
Profusa (PFSA) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Profusa reported Total Liabilities of $30.43 million, down 75.1% from FY2024.
- Annual Total Liabilities has a four-year compound annual growth rate of -37.5% (FY2021 to FY2025).
- Across earlier years, Total Liabilities came in at $122.28 million in FY2024 (+1.2%), $120.88 million in FY2023 (-38.1%), $195.36 million in FY2022 (-1.8%) and $198.97 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q3 2023.
- On a year-over-year basis, Total Liabilities has declined for four consecutive quarters, with growth averaging 60.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 793.6% in Q2 2024, against a decline of 92.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $29.06 million (Q1 2026), $30.43 million (Q4 2025) and $38.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Profusa | 97,472.44 | -5.78 Mn | - | 28.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.17 Mn |
| Mar 31, 2026 | 29.06 Mn |
| Dec 31, 2025 | 30.43 Mn |
| Sep 30, 2025 | 38.21 Mn |
| Jun 30, 2025 | 126.14 Mn |
| Mar 31, 2025 | 123.90 Mn |
| Dec 31, 2024 | 122.28 Mn |
| Sep 30, 2024 | 125.74 Mn |
| Jun 30, 2024 | 123.06 Mn |
| Mar 31, 2024 | 120.56 Mn |
| Dec 31, 2023 | 120.88 Mn |
| Sep 30, 2023 | 14.29 Mn |
| Jun 30, 2023 | 13.77 Mn |
| Mar 31, 2023 | 14.05 Mn |
| Dec 31, 2022 | 195.36 Mn |
| Sep 30, 2022 | 194.17 Mn |
| Jun 30, 2022 | 193.98 Mn |
| Mar 31, 2022 | 195.07 Mn |
| Dec 31, 2021 | 198.97 Mn |
API Access
Profusa Total Liabilities 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=total-liabilities&ticker=PFSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();