DiaMedica Therapeutics (DMAC) Total Non-Current Liabilities (2018 - 2026)
DiaMedica Therapeutics (DMAC) posted Total Non-Current Liabilities of $69,000 for Q2 2026, down 62.5% from $184,000 a year earlier and down 28.9% from the prior quarter.
Powered by 
Analysis
DiaMedica Therapeutics (DMAC) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, DiaMedica Therapeutics' Total Non-Current Liabilities came in at $128,000, down 46.0% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- In prior years, DiaMedica Therapeutics' Total Non-Current Liabilities was $237,000 in FY2024 (-25.2%), $317,000 in FY2023 (-20.8%), $400,000 in FY2022 and $3,000 in FY2021 (-94.3%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q2 2022.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 12 quarters, with an average decline of 39.4% over the last eight quarters.
- The year-over-year decline in Total Non-Current Liabilities has ranged between 19.0% (Q3 2023) and 94.3% (Q4 2021) over the last five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $97,000 (Q1 2026), $128,000 (Q4 2025) and $157,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | DiaMedica Therapeutics | 445.97 Mn | 445.97 Mn | - | 69,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69,000.00 |
| Mar 31, 2026 | 97,000.00 |
| Dec 31, 2025 | 128,000.00 |
| Sep 30, 2025 | 157,000.00 |
| Jun 30, 2025 | 184,000.00 |
| Mar 31, 2025 | 211,000.00 |
| Dec 31, 2024 | 237,000.00 |
| Sep 30, 2024 | 263,000.00 |
| Jun 30, 2024 | 288,000.00 |
| Mar 31, 2024 | 294,000.00 |
| Dec 31, 2023 | 317,000.00 |
| Sep 30, 2023 | 340,000.00 |
| Jun 30, 2023 | 361,000.00 |
| Mar 31, 2023 | 381,000.00 |
| Dec 31, 2022 | 400,000.00 |
| Sep 30, 2022 | 420,000.00 |
| Jun 30, 2022 | 7,000.00 |
| Mar 31, 2022 | 9,000.00 |
| Dec 31, 2021 | 3,000.00 |
| Sep 30, 2021 | 4,000.00 |
API Access
DiaMedica Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();