NeuroSense Therapeutics (NRSN) Total Non-Current Liabilities (2021 - 2025)
NeuroSense Therapeutics' (NRSN) quarterly Total Non-Current Liabilities came in at $72000.0 in Q4 2025, up 100.0% quarter-over-quarter from $36000.0 in Q2 2024.
NeuroSense Therapeutics (NRSN) Total Non-Current Liabilities (2021 - 2025) Analysis & Trends
NeuroSense Therapeutics has disclosed Total Non-Current Liabilities across 5 years of filings, most recently posting $72000.0 for Q4 2025.
- In Q4 2025, Total Non-Current Liabilities changed N/A year-over-year to $72000.0; the TTM figure through Dec 2025 stood at $72000.0 (changed N/A YoY), while the FY2025 annual figure was $72000.0, changed N/A from the prior year.
- Total Non-Current Liabilities came in at $72000.0 for Q4 2025 at NeuroSense Therapeutics, up from $36000.0 in the prior quarter.
- In the past five years, Total Non-Current Liabilities ranged from a high of $6.4 million in Q2 2023 to a low of $36000.0 in Q2 2024.
- Average Total Non-Current Liabilities over 5 years is $1.6 million, with a median of $881000.0 recorded in 2022.
- Year-over-year, Total Non-Current Liabilities jumped 910.2% in 2023 and slumped 99.44% in 2024.
- Over 5 years, Total Non-Current Liabilities stood at $1.8 million in 2021, then tumbled by 91.96% to $147000.0 in 2022, then jumped by 910.2% to $1.5 million in 2023, then tumbled by 97.58% to $36000.0 in 2024, then soared by 100.0% to $72000.0 in 2025.
- Per Business Quant data, the three most recent Total Non-Current Liabilities figures were $72000.0 in Q4 2025, $36000.0 in Q2 2024, and $1.5 million in Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amgen | 208.48 Bn | 194.49 Bn | 7.24 Bn | 81.11 Bn |
| 2 | Gilead Sciences | 186.29 Bn | 183.02 Bn | 6.22 Bn | 36.04 Bn |
| 3 | Vertex Pharmaceuticals | 128.79 Bn | 120.93 Bn | 2.84 Bn | 5.92 Bn |
| 4 | Regeneron Pharmaceuticals | 80.66 Bn | 72.67 Bn | 3.93 Bn | 7.74 Bn |
| 5 | Moderna | 61.46 Bn | 56.32 Bn | 52.00 Mn | 3.92 Bn |
| 6 | Argenx Se | 61.28 Bn | 56.10 Bn | 1.37 Bn | 40.00 Mn |
| 7 | Alnylam Pharmaceuticals | 32.04 Bn | 28.73 Bn | 992.69 Mn | 4.20 Bn |
| 8 | Biogen | 31.84 Bn | 30.56 Bn | 1.96 Bn | 12.42 Bn |
| 9 | Roivant Sciences | 28.74 Bn | 29.43 Bn | 1.16 Mn | 378.37 Mn |
| 10 | NeuroSense Therapeutics | 8.09 Mn | 7.88 Mn | - | 72,000.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 72,000.00 |
| Jun 30, 2024 | 36,000.00 |
| Dec 31, 2023 | 1.49 Mn |
| Jun 30, 2023 | 6.41 Mn |
| Dec 31, 2022 | 147,000.00 |
| Jun 30, 2022 | 881,000.00 |
| Dec 31, 2021 | 1.83 Mn |
NeuroSense Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NRSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();