NeuroSense Therapeutics (NRSN) EBIT (2021 - 2024)
NeuroSense Therapeutics (NRSN) reported EBIT of -$11.09 million for FY2025, compared with -$9.9 million in FY2024.
Analysis
NeuroSense Therapeutics (NRSN) EBIT (2021 - 2024) Analysis & Trends
Dating back to FY2019, NeuroSense Therapeutics' EBIT record includes 7 years.
- Five-year annual EBIT spans a low of -$12.05 million in FY2023 and a high of -$2.99 million in FY2021.
- According to Business Quant data, EBIT came in at -$9.9 million in FY2024, -$12.05 million in FY2023, -$10.55 million in FY2022 and -$2.99 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,135.59 Bn | 1,104.17 Bn | 19.71 Bn | 11.75 Bn |
| 2 | Johnson & Johnson | 616.92 Bn | 535.45 Bn | 17.26 Bn | 7.14 Bn |
| 3 | AbbVie | 501.52 Bn | 474.63 Bn | 12.70 Bn | 6.43 Bn |
| 4 | Merck | 367.36 Bn | 321.74 Bn | 12.21 Bn | -584.00 Mn |
| 5 | Novartis Ag | 297.93 Bn | 261.92 Bn | 11.24 Bn | 4.75 Bn |
| 6 | Astrazeneca | 261.45 Bn | 235.14 Bn | 12.86 Bn | 3.16 Bn |
| 7 | Amgen | 236.40 Bn | 191.80 Bn | 7.24 Bn | 3.51 Bn |
| 8 | Gilead Sciences | 190.72 Bn | 164.92 Bn | 6.22 Bn | -10.39 Bn |
| 9 | Pfizer | 169.43 Bn | 116.08 Bn | 10.94 Bn | 4.27 Bn |
| 10 | NeuroSense Therapeutics | 3.28 Mn | -1.16 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -1.77 Mn |
| Sep 30, 2024 | -2.11 Mn |
| Jun 30, 2024 | -3.03 Mn |
| Mar 31, 2024 | -2.99 Mn |
| Dec 31, 2023 | -3.06 Mn |
| Sep 30, 2023 | -2.63 Mn |
| Jun 30, 2023 | -3.37 Mn |
| Mar 31, 2023 | -2.99 Mn |
| Dec 31, 2022 | -381,000.00 |
| Sep 30, 2022 | -3.32 Mn |
| Jun 30, 2022 | -3.59 Mn |
| Mar 31, 2022 | -3.26 Mn |
| Dec 31, 2021 | 957,000.00 |
API Access
NeuroSense Therapeutics EBIT 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=ebit&ticker=NRSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=NRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();