ProMIS Neurosciences (PMN) EBITDA (2021 - 2023)
ProMIS Neurosciences (PMN) posted EBITDA of -$3.86 million for Q4 2023, compared with -$8.52 million a year earlier.
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Analysis
ProMIS Neurosciences (PMN) EBITDA (2021 - 2023) Analysis & Trends
For FY2023, ProMIS Neurosciences' EBITDA came in at -$14.24 million.
- In prior years, ProMIS Neurosciences' EBITDA was -$23.37 million in FY2022 and -$8.25 million in FY2021.
- Quarterly EBITDA has run from a low of -$8.52 million in Q4 2022 to a high of -$1.09 million in Q2 2021 over five years.
- According to Business Quant data, EBITDA for the three prior quarters was -$2.52 million (Q3 2023), -$2.9 million (Q2 2023) and -$4.97 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,128.06 Bn | 1,096.64 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 615.47 Bn | 534.00 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 504.80 Bn | 477.91 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 368.45 Bn | 322.83 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 298.44 Bn | 262.43 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.92 Bn | 235.60 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 236.10 Bn | 191.50 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 190.71 Bn | 164.91 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 170.16 Bn | 116.81 Bn | 10.94 Bn | 5.89 Bn |
| 10 | ProMIS Neurosciences | 74.78 Mn | -64.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -3.86 Mn |
| Sep 30, 2023 | -2.52 Mn |
| Jun 30, 2023 | -2.90 Mn |
| Mar 31, 2023 | -4.97 Mn |
| Dec 31, 2022 | -8.53 Mn |
| Sep 30, 2022 | -6.05 Mn |
| Jun 30, 2022 | -4.86 Mn |
| Mar 31, 2022 | -3.80 Mn |
| Dec 31, 2021 | -4.41 Mn |
| Sep 30, 2021 | -1.91 Mn |
| Jun 30, 2021 | -1.09 Mn |
API Access
ProMIS Neurosciences EBITDA 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=ebitda&ticker=PMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();