DiaMedica Therapeutics (DMAC) Change in Accured Expenses (2018 - 2026)
DiaMedica Therapeutics' Change in Accured Expenses came in at $1.3 million for Q2 2026, compared with -$328,000 a year earlier.
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Analysis
DiaMedica Therapeutics (DMAC) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DiaMedica Therapeutics reported Change in Accured Expenses of $823,000, up 90.1% year-over-year; for FY2025, it was -$892,000.
- Going back by year, Change in Accured Expenses was $2.49 million in FY2024 (+615.2%), $348,000 in FY2023 (-4.9%), $366,000 in FY2022 (+771.4%) and $42,000 in FY2021.
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses in data going back to Q1 2018.
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 79.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2024 (growth of 936.8%), and the weakest in Q4 2025 (a decline of 78.3%).
- Business Quant data shows DMAC's Change in Accured Expenses at -$1.23 million (Q1 2026), $282,000 (Q4 2025) and $469,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.20 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -251.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 901.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 338.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 222.50 Mn |
| 10 | DiaMedica Therapeutics | 445.97 Mn | 445.97 Mn | - | 1.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Mn |
| Mar 31, 2026 | -1.23 Mn |
| Dec 31, 2025 | 282,000.00 |
| Sep 30, 2025 | 469,000.00 |
| Jun 30, 2025 | -328,000.00 |
| Mar 31, 2025 | -1.32 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 775,000.00 |
| Jun 30, 2024 | 394,000.00 |
| Mar 31, 2024 | 19,000.00 |
| Dec 31, 2023 | 530,000.00 |
| Sep 30, 2023 | 198,000.00 |
| Jun 30, 2023 | 38,000.00 |
| Mar 31, 2023 | -418,000.00 |
| Dec 31, 2022 | 737,000.00 |
| Sep 30, 2022 | -265,000.00 |
| Jun 30, 2022 | -90,000.00 |
| Mar 31, 2022 | -16,000.00 |
| Dec 31, 2021 | 90,000.00 |
| Sep 30, 2021 | -287,000.00 |
API Access
DiaMedica Therapeutics Change in Accured Expenses 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=change-in-accured-expenses&ticker=DMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();