DiaMedica Therapeutics (DMAC) Current Assets (2017 - 2026)
DiaMedica Therapeutics' Current Assets came in at $44.32 million for Q2 2026, up 42.6% from $31.08 million a year earlier but down 15.4% from the prior quarter.
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Analysis
DiaMedica Therapeutics (DMAC) Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, DiaMedica Therapeutics' Current Assets was $60.63 million, up 35.9% from FY2024.
- Current Assets carries a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- Going back by year, Current Assets was $44.61 million in FY2024 (-16.9%), $53.68 million in FY2023 (+58.6%), $33.84 million in FY2022 (-25.5%) and $45.44 million in FY2021 (+62.7%).
- The five-year range for quarterly Current Assets is $29.67 million (Q1 2023) to $60.63 million (Q4 2025).
- Year-over-year, Current Assets has increased for four consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- The fastest year-over-year change in Current Assets over five years came in Q2 2022 (growth of 81.1%), and the weakest in Q2 2025 (a decline of 43.5%).
- Business Quant data shows DMAC's Current Assets at $52.36 million (Q1 2026), $60.63 million (Q4 2025) and $56.22 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 59.77 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 33.67 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 36.68 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 27.35 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 27.97 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 34.96 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 13.95 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 41.36 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 12.54 Bn |
| 10 | DiaMedica Therapeutics | 445.97 Mn | 445.97 Mn | - | 44.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.32 Mn |
| Mar 31, 2026 | 52.36 Mn |
| Dec 31, 2025 | 60.63 Mn |
| Sep 30, 2025 | 56.22 Mn |
| Jun 30, 2025 | 31.08 Mn |
| Mar 31, 2025 | 37.42 Mn |
| Dec 31, 2024 | 44.61 Mn |
| Sep 30, 2024 | 50.77 Mn |
| Jun 30, 2024 | 55.01 Mn |
| Mar 31, 2024 | 47.48 Mn |
| Dec 31, 2023 | 53.68 Mn |
| Sep 30, 2023 | 47.89 Mn |
| Jun 30, 2023 | 41.23 Mn |
| Mar 31, 2023 | 29.67 Mn |
| Dec 31, 2022 | 33.84 Mn |
| Sep 30, 2022 | 36.49 Mn |
| Jun 30, 2022 | 39.17 Mn |
| Mar 31, 2022 | 42.11 Mn |
| Dec 31, 2021 | 45.44 Mn |
| Sep 30, 2021 | 48.54 Mn |
API Access
DiaMedica Therapeutics Current Assets 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=current-assets&ticker=DMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();