NeuroSense Therapeutics (NRSN) Research & Development (2021 - 2024)
NeuroSense Therapeutics' Research & Development came in at -$6.23 million for FY2025, compared with -$5.7 million in FY2024.
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Analysis
NeuroSense Therapeutics (NRSN) Research & Development (2021 - 2024) Analysis & Trends
Going back to FY2019, NeuroSense Therapeutics' Research & Development data covers 7 years.
- The five-year range for annual Research & Development is -$7.27 million (FY2023) to -$1.39 million (FY2021).
- Per Business Quant, earlier years put Research & Development at -$5.7 million in FY2024, -$7.27 million in FY2023, -$5.59 million in FY2022 and -$1.39 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 2.81 Bn |
| 10 | NeuroSense Therapeutics | 3.19 Mn | -1.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 10.31 Mn |
| Sep 30, 2024 | -8.35 Mn |
| Jun 30, 2024 | 5.62 Mn |
| Mar 31, 2024 | -1.88 Mn |
| Dec 31, 2023 | 12.64 Mn |
| Sep 30, 2023 | -9.18 Mn |
| Jun 30, 2023 | 5.66 Mn |
| Mar 31, 2023 | -1.85 Mn |
| Dec 31, 2022 | 10.46 Mn |
| Sep 30, 2022 | -8.04 Mn |
| Jun 30, 2022 | 4.46 Mn |
| Mar 31, 2022 | -1.30 Mn |
| Dec 31, 2021 | 4.43 Mn |
API Access
NeuroSense Therapeutics Research & Development 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=research-and-development&ticker=NRSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=NRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();