ProMIS Neurosciences (PMN) Depreciation & Amortization (CF) (2021 - 2023)
ProMIS Neurosciences (PMN) recorded Depreciation & Amortization (CF) of -$1.00 in Q4 2023, compared with $373.00 a year earlier.
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Analysis
ProMIS Neurosciences (PMN) Depreciation & Amortization (CF) (2021 - 2023) Analysis & Trends
For FY2023, ProMIS Neurosciences reported Depreciation & Amortization (CF) of $321.00, down 94.8% from FY2022.
- Across earlier years, Depreciation & Amortization (CF) came in at $6,144 in FY2022 (-84.9%) and $40,576 in FY2021.
- The Q4 2023 figure is the lowest quarterly Depreciation & Amortization (CF) in data going back to Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | ProMIS Neurosciences | 97.30 Mn | -41.59 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -1.00 |
| Mar 31, 2023 | 322.00 |
| Dec 31, 2022 | 373.00 |
| Sep 30, 2022 | 1,883.00 |
| Jun 30, 2022 | 2,108.00 |
| Mar 31, 2022 | 1,780.00 |
| Dec 31, 2021 | 8,237.00 |
| Sep 30, 2021 | 10,862.00 |
| Jun 30, 2021 | 10,750.00 |
API Access
ProMIS Neurosciences Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();