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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | DiaMedica Therapeutics | 521.46 Mn | 311.42 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();