DiaMedica Therapeutics (DMAC) Research & Development (2018 - 2026)
DiaMedica Therapeutics (DMAC) reported Research & Development of $8.15 million for Q2 2026, up 40.0% from $5.82 million a year earlier and up 2.1% from the prior quarter.
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Analysis
DiaMedica Therapeutics (DMAC) Research & Development (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DiaMedica Therapeutics' Research & Development came in at $29.28 million, up 27.7% year-over-year; for FY2025, it came in at $24.61 million, up 29.2% from FY2024.
- Research & Development has increased for three consecutive years, with a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- By year, Research & Development came in at $19.06 million in FY2024 (+45.4%), $13.11 million in FY2023 (+67.2%), $7.84 million in FY2022 (-10.6%) and $8.77 million in FY2021 (+6.8%).
- The Q2 2026 figure ranks as the highest quarterly Research & Development in data going back to Q1 2018.
- Year over year, Research & Development has now increased in each of the last 15 quarters, with growth averaging 43.0% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q3 2023 (growth of 99.5%); the low point was Q4 2021 (a decline of 39.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.99 million (Q1 2026), $6.7 million (Q4 2025) and $6.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 993.80 Mn |
| 10 | DiaMedica Therapeutics | 445.97 Mn | 445.97 Mn | - | 8.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.15 Mn |
| Mar 31, 2026 | 7.99 Mn |
| Dec 31, 2025 | 6.70 Mn |
| Sep 30, 2025 | 6.44 Mn |
| Jun 30, 2025 | 5.82 Mn |
| Mar 31, 2025 | 5.66 Mn |
| Dec 31, 2024 | 6.47 Mn |
| Sep 30, 2024 | 4.98 Mn |
| Jun 30, 2024 | 3.93 Mn |
| Mar 31, 2024 | 3.68 Mn |
| Dec 31, 2023 | 3.68 Mn |
| Sep 30, 2023 | 3.27 Mn |
| Jun 30, 2023 | 2.54 Mn |
| Mar 31, 2023 | 3.62 Mn |
| Dec 31, 2022 | 2.27 Mn |
| Sep 30, 2022 | 1.64 Mn |
| Jun 30, 2022 | 1.96 Mn |
| Mar 31, 2022 | 1.97 Mn |
| Dec 31, 2021 | 1.87 Mn |
| Sep 30, 2021 | 2.33 Mn |
API Access
DiaMedica Therapeutics Research & Development 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=research-and-development&ticker=DMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();