Profusa (PFSA) EPS (Diluted) (2022 - 2026)
Profusa's EPS (Diluted) was -$151.80 in Q2 2026, compared with -$45.21 a year earlier.
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Analysis
Profusa (PFSA) EPS (Diluted) (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Profusa's EPS (Diluted) was -$745.02 through Jun 30, 2026; for FY2025, it came in at -$10,700.
- In earlier years, EPS (Diluted) was -$177.71 in FY2024, $22.37 in FY2023 (-83.8%), $138.01 in FY2022 and $7.21 in FY2021.
- Quarterly EPS (Diluted) has moved between -$2,559 (Q4 2025) and $71.41 (Q1 2022) over five years.
- Per Business Quant data, PFSA's EPS (Diluted) in the three quarters before Q2 2026 was -$204.73 (Q1 2026), -$2,559 (Q4 2025) and -$69.94 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 0.61 |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 0.42 |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.37 |
| 10 | Profusa | 114,198.48 | -5.77 Mn | - | -151.80 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -151.80 |
| Mar 31, 2026 | -204.73 |
| Dec 31, 2025 | -2,558.84 |
| Sep 30, 2025 | -69.94 |
| Jun 30, 2025 | -45.21 |
| Mar 31, 2025 | -52.29 |
| Dec 31, 2024 | -43.36 |
| Sep 30, 2024 | -48.08 |
| Jun 30, 2024 | -46.40 |
| Mar 31, 2024 | -39.87 |
| Dec 31, 2023 | 4.54 |
| Sep 30, 2023 | -7.07 |
| Jun 30, 2023 | 16.41 |
| Mar 31, 2023 | 8.49 |
| Dec 31, 2022 | 9.29 |
| Sep 30, 2022 | 33.96 |
| Jun 30, 2022 | 23.34 |
| Mar 31, 2022 | 71.41 |
API Access
Profusa EPS (Diluted) 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=eps-diluted&ticker=PFSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=PFSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();