DiaMedica Therapeutics (DMAC) Enterprise Value (2017 - 2026)
DiaMedica Therapeutics' Enterprise Value came in at $336.13 million for Q2 2026, up 143.7% from $137.94 million a year earlier and up 7.2% from the prior quarter.
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Analysis
DiaMedica Therapeutics (DMAC) Enterprise Value (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DiaMedica Therapeutics reported Enterprise Value of $169.59 million; for FY2025, it came in at $367.9 million, up 95.3% from FY2024.
- Enterprise Value has increased in each of the last three years, with a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $188.36 million in FY2024 (+243.1%), $54.91 million in FY2023 (+563.3%), $8.28 million in FY2022 (-74.4%) and $32.37 million in FY2021 (-80.1%).
- The five-year range for quarterly Enterprise Value is -$3.29 million (Q3 2022) to $367.9 million (Q4 2025).
- Year-over-year, Enterprise Value has increased for eight consecutive quarters, with growth averaging 140.3% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2023 (growth of 563.3%), and the weakest in Q1 2022 (a decline of 83.1%).
- Business Quant data shows DMAC's Enterprise Value at $313.46 million (Q1 2026), $367.9 million (Q4 2025) and $302.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | DiaMedica Therapeutics | 469.96 Mn | 259.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 336.13 Mn |
| Mar 31, 2026 | 313.46 Mn |
| Dec 31, 2025 | 367.90 Mn |
| Sep 30, 2025 | 302.45 Mn |
| Jun 30, 2025 | 137.94 Mn |
| Mar 31, 2025 | 126.12 Mn |
| Dec 31, 2024 | 188.36 Mn |
| Sep 30, 2024 | 128.99 Mn |
| Jun 30, 2024 | 71.89 Mn |
| Mar 31, 2024 | 58.64 Mn |
| Dec 31, 2023 | 54.91 Mn |
| Sep 30, 2023 | 51.46 Mn |
| Jun 30, 2023 | 77.62 Mn |
| Mar 31, 2023 | 11.84 Mn |
| Dec 31, 2022 | 8.28 Mn |
| Sep 30, 2022 | -3.29 Mn |
| Jun 30, 2022 | 14.97 Mn |
| Mar 31, 2022 | 25.06 Mn |
| Dec 31, 2021 | 32.37 Mn |
| Sep 30, 2021 | 28.24 Mn |
API Access
DiaMedica Therapeutics Enterprise Value 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=enterprise-value&ticker=DMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();