Profusa, Inc. (PFSA) Total Non-Current Liabilities (2021 - 2026)
Profusa (PFSA) reported Total Non-Current Liabilities of $26.27 million for Q2 2026, down 78.0% from $119.18 million a year earlier and down 9.5% from the prior quarter.
Profusa, Inc. (PFSA) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Profusa posted Total Non-Current Liabilities of $30.14 million, down 75.2% from FY2024.
- Total Non-Current Liabilities has a four-year compound annual growth rate of -37.0% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $121.58 million in FY2024 (+0.7%), $120.72 million in FY2023 (-37.9%), $194.5 million in FY2022 (+1.4%) and $191.75 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2023.
- Year over year, Total Non-Current Liabilities has now declined in each of the last five quarters, with growth averaging 65.0% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 850.5%); the low point was Q1 2023 (a decline of 93.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $29.02 million (Q1 2026), $30.14 million (Q4 2025) and $37.9 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.27 Mn |
| Mar 31, 2026 | 29.02 Mn |
| Dec 31, 2025 | 30.14 Mn |
| Sep 30, 2025 | 37.90 Mn |
| Jun 30, 2025 | 119.18 Mn |
| Mar 31, 2025 | 122.86 Mn |
| Dec 31, 2024 | 121.58 Mn |
| Sep 30, 2024 | 125.09 Mn |
| Jun 30, 2024 | 122.10 Mn |
| Mar 31, 2024 | 119.90 Mn |
| Dec 31, 2023 | 120.72 Mn |
| Sep 30, 2023 | 13.62 Mn |
| Jun 30, 2023 | 13.35 Mn |
| Mar 31, 2023 | 12.61 Mn |
| Dec 31, 2022 | 194.50 Mn |
| Sep 30, 2022 | 193.20 Mn |
| Jun 30, 2022 | 191.94 Mn |
| Mar 31, 2022 | 191.73 Mn |
| Dec 31, 2021 | 191.75 Mn |
Profusa, Inc. Total Non-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-non-current-liabilities&ticker=PFSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();