DiaMedica Therapeutics (DMAC) Inventory (2021 - 2023)
DiaMedica Therapeutics (DMAC) reported Inventory of $317,000 for Q4 2023, up 654.8% from $42,000 a year earlier but down 55.7% from the prior quarter.
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Analysis
DiaMedica Therapeutics (DMAC) Inventory (2021 - 2023) Analysis & Trends
Dating back to Q4 2021, DiaMedica Therapeutics' Inventory record includes 6 quarters.
- By year, Inventory came in at $42,000 in FY2022 (-62.8%) and $113,000 in FY2021.
- Five-year quarterly Inventory spans a low of $42,000 in Q4 2022 and a high of $715,000 in Q3 2023.
- Per Business Quant data, the three quarters before Q4 2023 came in at $715,000 (Q3 2023), $59,000 (Q2 2023) and $92,000 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 1.77 Bn |
| 10 | DiaMedica Therapeutics | 445.97 Mn | 445.97 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 317,000.00 |
| Sep 30, 2023 | 715,000.00 |
| Jun 30, 2023 | 59,000.00 |
| Mar 31, 2023 | 92,000.00 |
| Dec 31, 2022 | 42,000.00 |
| Dec 31, 2021 | 113,000.00 |
API Access
DiaMedica Therapeutics Inventory 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=inventory&ticker=DMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "DMAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();