DiaMedica Therapeutics (DMAC) Accounts Payables (2017 - 2026)
DiaMedica Therapeutics (DMAC) posted Accounts Payables of $2.81 million for Q2 2026, up 123.0% from $1.26 million a year earlier but down 14.6% from the prior quarter.
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Analysis
DiaMedica Therapeutics (DMAC) Accounts Payables (2017 - 2026) Analysis & Trends
At the end of FY2025, DiaMedica Therapeutics' Accounts Payables came in at $1.48 million, up 56.9% from FY2024.
- Annual Accounts Payables has increased for four consecutive years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, DiaMedica Therapeutics' Accounts Payables was $940,000 in FY2024 (+1.5%), $926,000 in FY2023 (+26.2%), $734,000 in FY2022 (+44.2%) and $509,000 in FY2021 (-53.7%).
- Quarterly Accounts Payables has run from a low of $433,000 in Q1 2022 to a high of $3.29 million in Q1 2026 over five years.
- On a year-over-year basis, Accounts Payables has increased in each of the last eight quarters, with growth averaging 72.0% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q1 2023, with growth of 311.1%; the weakest was Q1 2024, with a decline of 59.8%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $3.29 million (Q1 2026), $1.48 million (Q4 2025) and $1.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 9.22 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 3.83 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.58 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 429.50 Mn |
| 10 | DiaMedica Therapeutics | 445.97 Mn | 445.97 Mn | - | 2.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.81 Mn |
| Mar 31, 2026 | 3.29 Mn |
| Dec 31, 2025 | 1.48 Mn |
| Sep 30, 2025 | 1.92 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | 1.51 Mn |
| Dec 31, 2024 | 940,000.00 |
| Sep 30, 2024 | 1.17 Mn |
| Jun 30, 2024 | 759,000.00 |
| Mar 31, 2024 | 716,000.00 |
| Dec 31, 2023 | 926,000.00 |
| Sep 30, 2023 | 863,000.00 |
| Jun 30, 2023 | 856,000.00 |
| Mar 31, 2023 | 1.78 Mn |
| Dec 31, 2022 | 734,000.00 |
| Sep 30, 2022 | 864,000.00 |
| Jun 30, 2022 | 624,000.00 |
| Mar 31, 2022 | 433,000.00 |
| Dec 31, 2021 | 509,000.00 |
| Sep 30, 2021 | 699,000.00 |
API Access
DiaMedica Therapeutics Accounts Payables 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=accounts-payables&ticker=DMAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();