ProMIS Neurosciences (PMN) Non Operating Interest Expenses (2021 - 2024)
ProMIS Neurosciences (PMN) posted Non Operating Interest Expenses of $1.00 for Q3 2024, down 100.0% from $75,413 a year earlier.
ProMIS Neurosciences (PMN) Non Operating Interest Expenses (2021 - 2024) Analysis & Trends
For the trailing twelve months through Sep 30, 2024, Non Operating Interest Expenses at ProMIS Neurosciences was $152,188, up 22.1% year-over-year; for FY2022, it came in at $282,064, down 32.2% from FY2021.
- In prior years, ProMIS Neurosciences' Non Operating Interest Expenses was $416,286 in FY2021.
- Quarterly Non Operating Interest Expenses has run from a low of -$1.00 in Q2 2024 to a high of $147,773 in Q1 2022 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | ProMIS Neurosciences | 97.30 Mn | -41.59 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 1.00 |
| Jun 30, 2024 | -1.00 |
| Mar 31, 2024 | 76,775.00 |
| Sep 30, 2023 | 75,413.00 |
| Jun 30, 2023 | 49,182.00 |
| Jun 30, 2022 | 134,291.00 |
| Mar 31, 2022 | 147,773.00 |
| Dec 31, 2021 | 139,969.00 |
| Sep 30, 2021 | 140,912.00 |
| Jun 30, 2021 | 133,686.00 |
ProMIS Neurosciences 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=PMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "PMN", "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=PMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();