NeuroSense Therapeutics (NRSN) Operating Leases (2022 - 2025)
NeuroSense Therapeutics (NRSN) recorded Operating Leases of $72,000 in Q4 2025.
Analysis
NeuroSense Therapeutics (NRSN) Operating Leases (2022 - 2025) Analysis & Trends
Starting with Q1 2022, NeuroSense Therapeutics' Operating Leases history includes 12 quarters.
- Annual Operating Leases has a three-year compound annual growth rate of -21.2% (FY2022 to FY2025).
- Across earlier years, Operating Leases came in at $73,000 in FY2023 (-50.3%) and $147,000 in FY2022.
- The Q4 2025 figure is the highest quarterly Operating Leases since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | NeuroSense Therapeutics | 3.19 Mn | -1.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 72,000.00 |
| Sep 30, 2024 | 19,000.00 |
| Jun 30, 2024 | 36,000.00 |
| Mar 31, 2024 | 55,000.00 |
| Dec 31, 2023 | 73,000.00 |
| Sep 30, 2023 | 84,000.00 |
| Jun 30, 2023 | 104,000.00 |
| Mar 31, 2023 | 126,000.00 |
| Dec 31, 2022 | 147,000.00 |
| Sep 30, 2022 | 173,000.00 |
| Jun 30, 2022 | 190,000.00 |
| Mar 31, 2022 | 207,000.00 |
API Access
NeuroSense Therapeutics Operating Leases 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-leases&ticker=NRSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=NRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();