NeuroSense Therapeutics (NRSN) EBT (2021 - 2024)
NeuroSense Therapeutics' EBT was -$11.09 million in FY2025, compared with -$9.9 million in FY2024.
Analysis
NeuroSense Therapeutics (NRSN) EBT (2021 - 2024) Analysis & Trends
From FY2019 onward, NeuroSense Therapeutics has reported EBT for 7 years.
- The FY2025 figure marks the lowest annual EBT in data going back to FY2019.
- Per Business Quant data, EBT in earlier years was -$9.9 million in FY2024, -$5.61 million in FY2023, -$9.25 million in FY2022 and $933,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 9.25 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 6.75 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 4.28 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -683.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 4.27 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.80 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 2.77 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -10.25 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -653.00 Mn |
| 10 | NeuroSense Therapeutics | 3.19 Mn | -1.26 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 | -7.14 Mn |
| Sep 30, 2023 | 5.47 Mn |
| Jun 30, 2023 | -5.74 Mn |
| Mar 31, 2023 | -2.62 Mn |
| Dec 31, 2022 | -288,000.00 |
| Sep 30, 2022 | -2.86 Mn |
| Jun 30, 2022 | -3.53 Mn |
| Mar 31, 2022 | -2.67 Mn |
| Dec 31, 2021 | 2.50 Mn |
API Access
NeuroSense Therapeutics EBT 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=ebt&ticker=NRSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=NRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();