ProMIS Neurosciences (PMN) Amortizatization of Intangibles (2021 - 2023)
ProMIS Neurosciences' Amortizatization of Intangibles was $18,022 in Q4 2023, compared with $1,186 a year earlier.
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Analysis
ProMIS Neurosciences (PMN) Amortizatization of Intangibles (2021 - 2023) Analysis & Trends
For FY2023, Amortizatization of Intangibles at ProMIS Neurosciences came in at $20,838, up 310.8% from FY2022.
- In earlier years, Amortizatization of Intangibles was $5,072 in FY2022 (-3.4%) and $5,249 in FY2021.
- The Q4 2023 figure marks the highest quarterly Amortizatization of Intangibles in data going back to Q2 2021.
- Per Business Quant data, PMN's Amortizatization of Intangibles in the three quarters before Q4 2023 was $345.00 (Q3 2023), $1,238 (Q2 2023) and $1,233 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 984.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 600.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | ProMIS Neurosciences | 84.30 Mn | -54.60 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 18,022.00 |
| Sep 30, 2023 | 345.00 |
| Jun 30, 2023 | 1,238.00 |
| Mar 31, 2023 | 1,233.00 |
| Dec 31, 2022 | 1,186.00 |
| Sep 30, 2022 | 1,263.00 |
| Jun 30, 2022 | 1,306.00 |
| Mar 31, 2022 | 1,317.00 |
| Dec 31, 2021 | 1,290.00 |
| Sep 30, 2021 | 1,322.00 |
| Jun 30, 2021 | 1,320.00 |
API Access
ProMIS Neurosciences Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=PMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=PMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();