DiaMedica Therapeutics (DMAC) Assets (2017 - 2026)
DiaMedica Therapeutics (DMAC) reported Assets of $45 million for Q2 2026, up 43.0% from $31.47 million a year earlier but down 15.2% from the prior quarter.
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Analysis
DiaMedica Therapeutics (DMAC) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, DiaMedica Therapeutics posted Assets of $61.37 million, up 32.4% from FY2024.
- Assets has a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- By year, Assets came in at $46.35 million in FY2024 (-14.4%), $54.16 million in FY2023 (+57.5%), $34.4 million in FY2022 (-24.5%) and $45.55 million in FY2021 (+62.1%).
- Five-year quarterly Assets spans a low of $30.22 million in Q1 2023 and a high of $62.05 million in Q2 2023.
- Year over year, Assets has now increased in each of the last four quarters, with growth averaging 3.9% over the last eight quarters.
- The high point for year-over-year Assets in five years was Q2 2022 (growth of 80.3%); the low point was Q2 2025 (a decline of 44.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $53.08 million (Q1 2026), $61.37 million (Q4 2025) and $57.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 142.28 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 201.06 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 135.12 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 129.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 122.03 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 115.83 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 95.64 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 49.36 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 201.13 Bn |
| 10 | DiaMedica Therapeutics | 469.96 Mn | 259.92 Mn | - | 45.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.00 Mn |
| Mar 31, 2026 | 53.08 Mn |
| Dec 31, 2025 | 61.37 Mn |
| Sep 30, 2025 | 57.05 Mn |
| Jun 30, 2025 | 31.47 Mn |
| Mar 31, 2025 | 38.83 Mn |
| Dec 31, 2024 | 46.35 Mn |
| Sep 30, 2024 | 52.52 Mn |
| Jun 30, 2024 | 56.79 Mn |
| Mar 31, 2024 | 49.26 Mn |
| Dec 31, 2023 | 54.16 Mn |
| Sep 30, 2023 | 58.14 Mn |
| Jun 30, 2023 | 62.05 Mn |
| Mar 31, 2023 | 30.22 Mn |
| Dec 31, 2022 | 34.40 Mn |
| Sep 30, 2022 | 37.04 Mn |
| Jun 30, 2022 | 39.26 Mn |
| Mar 31, 2022 | 42.21 Mn |
| Dec 31, 2021 | 45.55 Mn |
| Sep 30, 2021 | 48.66 Mn |
API Access
DiaMedica Therapeutics 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=assets&ticker=DMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();