NeuroSense Therapeutics (NRSN) Non Operating Interest Expenses (2021 - 2023)
NeuroSense Therapeutics' Non Operating Interest Expenses was -$1,000 in Q4 2023, compared with $23,000 a year earlier.
Powered by 
Analysis
NeuroSense Therapeutics (NRSN) Non Operating Interest Expenses (2021 - 2023) Analysis & Trends
For FY2023, Non Operating Interest Expenses at NeuroSense Therapeutics came in at -$2.21 million.
- In earlier years, Non Operating Interest Expenses was -$45,000 in FY2022, -$1.19 million in FY2021, -$1,000 in FY2020 and -$5,000 in FY2019.
- Quarterly Non Operating Interest Expenses has moved between -$1.89 million (Q2 2023) and $23,000 (Q4 2022) over five years.
- Per Business Quant data, NRSN's Non Operating Interest Expenses in the three quarters before Q4 2023 was -$12,000 (Q3 2023), -$1.89 million (Q2 2023) and -$310,000 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | - |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | - |
| 10 | NeuroSense Therapeutics | 4.00 Mn | -436,466.80 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 4.42 Mn |
| Sep 30, 2023 | -4.40 Mn |
| Jun 30, 2023 | 2.51 Mn |
| Mar 31, 2023 | -310,000.00 |
| Dec 31, 2022 | 113,000.00 |
| Sep 30, 2022 | -126,000.00 |
| Jun 30, 2022 | 81,000.00 |
| Mar 31, 2022 | -23,000.00 |
| Dec 31, 2021 | 1.19 Mn |
API Access
NeuroSense Therapeutics Non Operating Interest 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=non-operating-interest-expenses&ticker=NRSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=NRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();