Profusa (PFSA) Non-Current Assets (2021 - 2026)
Profusa (PFSA) posted Non-Current Assets of $201,000 for Q2 2026, down 84.2% from $1.27 million a year earlier but up 0.5% from the prior quarter.
Analysis
Profusa (PFSA) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Profusa's Non-Current Assets came in at $11,000, down 99.6% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a four-year compound annual growth rate of -91.3% (FY2021 to FY2025).
- In prior years, Profusa's Non-Current Assets was $2.81 million in FY2024 (-69.8%), $9.31 million in FY2023 (-95.2%), $194.22 million in FY2022 (+1.2%) and $191.96 million in FY2021.
- Quarterly Non-Current Assets has run from a low of $11,000 in Q4 2025 to a high of $194.22 million in Q4 2022 over five years.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 14 quarters, with an average decline of 78.6% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2022, with growth of 1.2%; the weakest was Q4 2025, with a decline of 99.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $200,000 (Q1 2026), $11,000 (Q4 2025) and $55,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Profusa | 97,472.44 | -5.78 Mn | - | 201,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201,000.00 |
| Mar 31, 2026 | 200,000.00 |
| Dec 31, 2025 | 11,000.00 |
| Sep 30, 2025 | 55,000.00 |
| Jun 30, 2025 | 1.27 Mn |
| Mar 31, 2025 | 1.92 Mn |
| Dec 31, 2024 | 2.81 Mn |
| Sep 30, 2024 | 8.10 Mn |
| Jun 30, 2024 | 8.48 Mn |
| Mar 31, 2024 | 8.43 Mn |
| Dec 31, 2023 | 9.31 Mn |
| Sep 30, 2023 | 10.65 Mn |
| Jun 30, 2023 | 10.66 Mn |
| Mar 31, 2023 | 10.39 Mn |
| Dec 31, 2022 | 194.22 Mn |
| Sep 30, 2022 | 193.09 Mn |
| Jun 30, 2022 | 192.03 Mn |
| Mar 31, 2022 | 191.96 Mn |
| Dec 31, 2021 | 191.96 Mn |
API Access
Profusa Non-Current Assets 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=non-current-assets&ticker=PFSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();