DiaMedica Therapeutics (DMAC) Shares Outstanding (2017 - 2026)
DiaMedica Therapeutics' Shares Outstanding was 53.89 million in Q2 2026, up 25.5% from 42.96 million a year earlier and up 0.2% from the prior quarter.
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Analysis
DiaMedica Therapeutics (DMAC) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at DiaMedica Therapeutics came in at 46.98 million, up 16.3% from FY2024.
- Shares Outstanding has now increased for eight consecutive years, with a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 40.4 million in FY2024 (+24.1%), 32.57 million in FY2023 (+23.2%), 26.44 million in FY2022 (+27.3%) and 20.77 million in FY2021 (+32.5%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q4 2017.
- Compared with a year earlier, Shares Outstanding has increased for 13 straight quarters, with growth averaging 18.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.0% (Q1 2023) to 43.5% (Q1 2024).
- Per Business Quant data, DMAC's Shares Outstanding in the three quarters before Q2 2026 was 53.79 million (Q1 2026), 46.98 million (Q4 2025) and 49.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 892.40 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 2.41 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.94 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 540.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.70 Bn |
| 10 | DiaMedica Therapeutics | 469.96 Mn | 259.92 Mn | - | 53.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.89 Mn |
| Mar 31, 2026 | 53.79 Mn |
| Dec 31, 2025 | 46.98 Mn |
| Sep 30, 2025 | 49.63 Mn |
| Jun 30, 2025 | 42.96 Mn |
| Mar 31, 2025 | 42.84 Mn |
| Dec 31, 2024 | 40.40 Mn |
| Sep 30, 2024 | 42.75 Mn |
| Jun 30, 2024 | 38.07 Mn |
| Mar 31, 2024 | 37.96 Mn |
| Dec 31, 2023 | 32.57 Mn |
| Sep 30, 2023 | 37.95 Mn |
| Jun 30, 2023 | 27.31 Mn |
| Mar 31, 2023 | 26.45 Mn |
| Dec 31, 2022 | 26.44 Mn |
| Sep 30, 2022 | 26.44 Mn |
| Jun 30, 2022 | 26.44 Mn |
| Mar 31, 2022 | 26.44 Mn |
| Dec 31, 2021 | 20.77 Mn |
| Sep 30, 2021 | 19.04 Mn |
API Access
DiaMedica Therapeutics Shares Outstanding 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=shares-outstanding&ticker=DMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();