NeuroSense Therapeutics (NRSN) EPS (Diluted) (2022 - 2024)
NeuroSense Therapeutics (NRSN) recorded EPS (Diluted) of -$8.73 in FY2025, compared with -$10.98 in FY2024.
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Analysis
NeuroSense Therapeutics (NRSN) EPS (Diluted) (2022 - 2024) Analysis & Trends
Starting with FY2020, NeuroSense Therapeutics' EPS (Diluted) history includes 6 years.
- The FY2025 figure is the highest annual EPS (Diluted) in data going back to FY2020.
- Per Business Quant data, NRSN's EPS (Diluted) was -$10.98 in FY2024, -$16.23 in FY2023, -$20.25 in FY2022 and -$13.31 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,157.52 Bn | 1,126.11 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 631.39 Bn | 549.92 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 498.93 Bn | 472.04 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 376.05 Bn | 330.42 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 301.98 Bn | 265.97 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 265.05 Bn | 238.74 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 240.27 Bn | 195.67 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 193.08 Bn | 167.27 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 171.85 Bn | 118.50 Bn | 10.94 Bn | -0.04 |
| 10 | NeuroSense Therapeutics | 2.74 Mn | -1.70 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -1.94 |
| Sep 30, 2024 | -3.15 |
| Jun 30, 2024 | -1.26 |
| Mar 31, 2024 | -7.92 |
| Dec 31, 2023 | -4.67 |
| Sep 30, 2023 | -0.61 |
| Jun 30, 2023 | -6.34 |
| Mar 31, 2023 | -5.08 |
| Dec 31, 2022 | -2.26 |
API Access
NeuroSense Therapeutics 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=NRSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "NRSN", "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=NRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();