ProMIS Neurosciences (PMN) Depreciation and Depletion (2021 - 2023)
ProMIS Neurosciences' Depreciation and Depletion came in at -$1.00 for Q4 2023, compared with $373.00 a year earlier.
Analysis
ProMIS Neurosciences (PMN) Depreciation and Depletion (2021 - 2023) Analysis & Trends
For FY2023, ProMIS Neurosciences' Depreciation and Depletion was $321.00, down 94.8% from FY2022.
- Going back by year, Depreciation and Depletion was $6,144 in FY2022 (-84.9%) and $40,576 in FY2021.
- The Q4 2023 figure represents the lowest quarterly Depreciation and Depletion in data going back to Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 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 | 98.00 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 | -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 and Depletion 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-depletion&ticker=PMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=PMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();