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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.94 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 253.70 Mn |
| 10 | DiaMedica Therapeutics | 445.97 Mn | 445.97 Mn | - | 53.89 Mn |
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 |
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_KEY
import 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();