DiaMedica Therapeutics (DMAC) Return on Capital Employed [ROCE] (2019 - 2026)
DiaMedica Therapeutics' Return on Capital Employed [ROCE] was -92.41% in Q2 2026, up 8.94 percentage points from -101.35% a year earlier but down 21.05 percentage points from the prior quarter.
DiaMedica Therapeutics (DMAC) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at DiaMedica Therapeutics came in at -70.59%, down 11.12 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, though with a five-year change of +6.16 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -59.47% in FY2024 (-8.22 pp), -51.26% in FY2023 (-14.22 pp), -37.03% in FY2022 (+1.62 pp) and -38.66% in FY2021 (+38.09 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -101.35% (Q2 2025) and -29.94% (Q4 2021) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last eight quarters, with an average year-over-year change of -18.96 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2022 (a gain of 32.78 percentage points); the worst was Q2 2025 (a drop of 56.53 percentage points).
- Per Business Quant data, DMAC's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -71.36% (Q1 2026), -63.61% (Q4 2025) and -86.18% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 17.83% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 17.92% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.28% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 19.32% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.54% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 16.66% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -5.97% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 11.86% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 20.76% |
| 10 | DiaMedica Therapeutics | 445.97 Mn | 445.97 Mn | - | -92.41% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -92.41% |
| Mar 31, 2026 | -71.36% |
| Dec 31, 2025 | -63.61% |
| Sep 30, 2025 | -86.18% |
| Jun 30, 2025 | -101.35% |
| Mar 31, 2025 | -76.69% |
| Dec 31, 2024 | -60.58% |
| Sep 30, 2024 | -47.87% |
| Jun 30, 2024 | -44.82% |
| Mar 31, 2024 | -43.77% |
| Dec 31, 2023 | -39.85% |
| Sep 30, 2023 | -33.48% |
| Jun 30, 2023 | -39.29% |
| Mar 31, 2023 | -54.20% |
| Dec 31, 2022 | -41.73% |
| Sep 30, 2022 | -36.26% |
| Jun 30, 2022 | -34.60% |
| Mar 31, 2022 | -31.95% |
| Dec 31, 2021 | -29.94% |
| Sep 30, 2021 | -43.66% |
DiaMedica Therapeutics Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=DMAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();