NeuroSense Therapeutics (NRSN) Interest Expenses (2021 - 2023)
NeuroSense Therapeutics (NRSN) reported Interest Expenses of -$1,000 for Q4 2023, compared with $23,000 a year earlier.
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Analysis
NeuroSense Therapeutics (NRSN) Interest Expenses (2021 - 2023) Analysis & Trends
For FY2023, NeuroSense Therapeutics posted Interest Expenses of -$2.21 million.
- By year, Interest Expenses came in at -$45,000 in FY2022, -$1.19 million in FY2021, -$1,000 in FY2020 and -$5,000 in FY2019.
- Five-year quarterly Interest Expenses spans a low of -$1.89 million in Q2 2023 and a high of $23,000 in Q4 2022.
- Per Business Quant data, the three quarters before Q4 2023 came in at -$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) | Int Expense (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 | 281.00 Mn |
| 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 | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 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, 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 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=interest-expenses&ticker=NRSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=NRSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();