Profusa (PFSA) Operating Expenses (2022 - 2026)
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Analysis
Profusa (PFSA) Operating Expenses (2022 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Profusa | 31,664.13 | -5.85 Mn | - | 2.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.55 Mn |
| Mar 31, 2026 | 4.01 Mn |
| Dec 31, 2025 | 3.57 Mn |
| Sep 30, 2025 | 21.71 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 1.42 Mn |
| Dec 31, 2024 | 1.08 Mn |
| Sep 30, 2024 | 1.18 Mn |
| Jun 30, 2024 | 253,130.00 |
| Mar 31, 2024 | 470,841.00 |
| Dec 31, 2023 | 460,158.00 |
| Sep 30, 2023 | 290,098.00 |
| Jun 30, 2023 | 314,710.00 |
| Mar 31, 2023 | 443,717.00 |
| Dec 31, 2022 | 407,008.00 |
| Sep 30, 2022 | 404,425.00 |
| Jun 30, 2022 | 217,525.00 |
| Mar 31, 2022 | 241,596.00 |
API Access
Profusa Operating Expenses 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=operating-expenses&ticker=PFSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();