NeuroSense Therapeutics (NRSN) Operating Expenses (2021 - 2024)
NeuroSense Therapeutics (NRSN) posted Operating Expenses of -$11.09 million for FY2025, compared with -$9.9 million in FY2024.
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Analysis
NeuroSense Therapeutics (NRSN) Operating Expenses (2021 - 2024) Analysis & Trends
Since FY2019, NeuroSense Therapeutics has reported Operating Expenses for 7 years.
- Annual Operating Expenses has run from a low of -$12.05 million in FY2023 to a high of -$2.99 million in FY2021 over five years.
- Business Quant data shows NRSN's Operating Expenses 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) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.98 Bn | 1,134.57 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 643.66 Bn | 563.53 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 500.95 Bn | 474.06 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 358.08 Bn | 312.45 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 301.84 Bn | 265.83 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.25 Bn | 240.94 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.42 Bn | 196.81 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 193.09 Bn | 167.28 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.63 Bn | 118.27 Bn | 10.94 Bn | 6.68 Bn |
| 10 | NeuroSense Therapeutics | 3.08 Mn | -1.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 18.03 Mn |
| Sep 30, 2024 | -14.16 Mn |
| Jun 30, 2024 | 9.02 Mn |
| Mar 31, 2024 | -2.99 Mn |
| Dec 31, 2023 | 21.04 Mn |
| Sep 30, 2023 | -15.35 Mn |
| Jun 30, 2023 | 9.35 Mn |
| Mar 31, 2023 | -2.99 Mn |
| Dec 31, 2022 | 20.73 Mn |
| Sep 30, 2022 | -17.03 Mn |
| Jun 30, 2022 | 10.12 Mn |
| Mar 31, 2022 | -3.26 Mn |
| Dec 31, 2021 | 6.93 Mn |
API Access
NeuroSense Therapeutics 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=NRSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();