DiaMedica Therapeutics (DMAC) Selling, General & Administrative (2018 - 2026)
DiaMedica Therapeutics (DMAC) reported Selling, General & Administrative of $2.35 million for Q2 2026, up 7.3% from $2.19 million a year earlier but down 6.0% from the prior quarter.
DiaMedica Therapeutics (DMAC) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DiaMedica Therapeutics' Selling, General & Administrative came in at $9.95 million, up 16.8% year-over-year; for FY2025, it was $9.78 million, up 28.3% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $7.62 million in FY2024 (-6.5%), $8.16 million in FY2023 (+32.4%), $6.16 million in FY2022 (+26.2%) and $4.88 million in FY2021 (+8.6%).
- Five-year quarterly Selling, General & Administrative spans a low of $1.08 million in Q3 2021 and a high of $2.6 million in Q3 2025.
- Year over year, Selling, General & Administrative has now increased in each of the last six quarters, with growth averaging 14.0% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2023 (growth of 56.0%); the low point was Q2 2024 (a decline of 22.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.5 million (Q1 2026), $2.51 million (Q4 2025) and $2.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | DiaMedica Therapeutics | 521.46 Mn | 311.42 Mn | - | 2.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.35 Mn |
| Mar 31, 2026 | 2.50 Mn |
| Dec 31, 2025 | 2.51 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | 2.19 Mn |
| Mar 31, 2025 | 2.49 Mn |
| Dec 31, 2024 | 1.95 Mn |
| Sep 30, 2024 | 1.90 Mn |
| Jun 30, 2024 | 1.71 Mn |
| Mar 31, 2024 | 2.07 Mn |
| Dec 31, 2023 | 2.17 Mn |
| Sep 30, 2023 | 1.89 Mn |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | 1.90 Mn |
| Dec 31, 2022 | 1.70 Mn |
| Sep 30, 2022 | 1.49 Mn |
| Jun 30, 2022 | 1.41 Mn |
| Mar 31, 2022 | 1.56 Mn |
| Dec 31, 2021 | 1.38 Mn |
| Sep 30, 2021 | 1.08 Mn |
DiaMedica Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=DMAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DMAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();