ProMIS Neurosciences (PMN) Interest Expenses (2021 - 2024)
ProMIS Neurosciences (PMN) recorded Interest Expenses of $1.00 in Q3 2024, down 100.0% from $75,413 a year earlier.
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Analysis
ProMIS Neurosciences (PMN) Interest Expenses (2021 - 2024) Analysis & Trends
On a TTM basis, ProMIS Neurosciences' Interest Expenses came in at $152,188 as of Sep 30, 2024, up 22.1% year-over-year; for FY2022, it was $282,064, down 32.2% from FY2021.
- Across earlier years, Interest Expenses came in at $416,286 in FY2021.
- Quarterly Interest Expenses has ranged from -$1.00 in Q2 2024 to $147,773 in Q1 2022 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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
Download Data
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 |
API Access
ProMIS Neurosciences 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=PMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=PMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();