Profusa (PFSA) Total Current Liabilities (2021 - 2026)
Profusa (PFSA) posted Total Current Liabilities of $28.17 million for Q2 2026, up 74.1% from $16.18 million a year earlier but down 2.9% from the prior quarter.
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Analysis
Profusa (PFSA) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Profusa's Total Current Liabilities came in at $22.26 million, down 61.0% from FY2024.
- Annual Total Current Liabilities shows a four-year compound annual growth rate of 280.2% (FY2021 to FY2025).
- In prior years, Profusa's Total Current Liabilities was $57.13 million in FY2024, $4.92 million in FY2023 (+425.9%), $935,751 in FY2022 (+778.5%) and $106,511 in FY2021.
- Quarterly Total Current Liabilities has run from a low of $85,588 in Q1 2022 to a high of $57.13 million in Q4 2024 over five years.
- On a year-over-year basis, Total Current Liabilities increased in six of the last seven quarters, with growth averaging 154.8%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2022, with growth of 778.5%; the weakest was Q4 2025, with a decline of 61.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $29.02 million (Q1 2026), $22.26 million (Q4 2025) and $23.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 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 | 29.02 Mn |
| Dec 31, 2025 | 22.26 Mn |
| Sep 30, 2025 | 23.54 Mn |
| Jun 30, 2025 | 16.18 Mn |
| Mar 31, 2025 | 13.25 Mn |
| Dec 31, 2024 | 57.13 Mn |
| Sep 30, 2024 | 5.17 Mn |
| Jun 30, 2024 | 4.16 Mn |
| Mar 31, 2024 | 3.96 Mn |
| Dec 31, 2023 | 4.92 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 2.97 Mn |
| Mar 31, 2023 | 2.65 Mn |
| Dec 31, 2022 | 935,751.00 |
| Sep 30, 2022 | 400,282.00 |
| Jun 30, 2022 | 160,243.00 |
| Mar 31, 2022 | 85,588.00 |
| Dec 31, 2021 | 106,511.00 |
API Access
Profusa Total Current 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-current-liabilities&ticker=PFSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();