Profusa (PFSA) Operating Expenses (2022 - 2026)
Profusa's Operating Expenses was $2.55 million in Q2 2026, up 153.7% from $1 million a year earlier but down 36.5% from the prior quarter.
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Analysis
Profusa (PFSA) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Profusa's Operating Expenses was $31.83 million through Jun 30, 2026, up 579.1% year-over-year; for FY2025, it was $27.71 million, up 502.3% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a four-year compound annual growth rate of 398.0% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $4.6 million in FY2024 (+204.9%), $1.51 million in FY2023 (+18.7%), $1.27 million in FY2022 and $45,047 in FY2021.
- Quarterly Operating Expenses has moved between $217,525 (Q2 2022) and $21.71 million (Q3 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 215.0% over the last seven quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2024 (growth of 306.1%); the worst was Q3 2023 (a decline of 28.3%).
- Per Business Quant data, PFSA's Operating Expenses in the three quarters before Q2 2026 was $4.01 million (Q1 2026), $3.57 million (Q4 2025) and $21.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Profusa | 97,472.44 | -5.78 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();