Medicure (MCUJF) Operating Expenses (2009 - 2026)
Medicure (MCUJF) reported Operating Expenses of $3.29 million for the quarter ended Jun 30, 2026, up 10.3% from $2.98 million a year earlier.
Medicure (MCUJF) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Medicure's Operating Expenses came in at -$2.82 million; for the year ended Dec 31, 2025, it came in at $7.49 million, up 28.5% from the prior year.
- Operating Expenses has a five-year compound annual growth rate of -5.4% (years ended Dec 2020 to Dec 2025).
- By year, Operating Expenses came in at $5.83 million in the year ended Dec 31, 2024 (-5.3%), $6.16 million in the year ended Dec 31, 2023 (+0.9%), $6.1 million in the year ended Dec 31, 2022 (-48.3%) and $11.81 million in the year ended Dec 31, 2021 (+19.6%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Operating Expenses since the quarter ended Jun 30, 2022.
- Year over year, Operating Expenses gained in two of the last four quarters, with an average decline of 12.0%.
- The high point for year-over-year Operating Expenses in five years was the quarter ended Jun 30, 2022 (growth of 15.3%); the low point was the quarter ended Sep 30, 2024 (a decline of 45.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$1.43 million (quarter ended Mar 31, 2026), -$3.08 million (quarter ended Dec 31, 2025) and -$1.6 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Medicure | 32.35 Mn | 24.20 Mn | 2.31 Mn | 3.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.29 Mn |
| Mar 31, 2026 | 1.41 Mn |
| Dec 31, 2025 | 1.88 Mn |
| Sep 30, 2025 | 1.37 Mn |
| Jun 30, 2025 | 2.98 Mn |
| Mar 31, 2025 | 2.44 Mn |
| Dec 31, 2024 | 2.82 Mn |
| Sep 30, 2024 | 2.90 Mn |
| Jun 30, 2024 | 2.98 Mn |
| Mar 31, 2024 | 2.86 Mn |
| Dec 31, 2023 | 2.91 Mn |
| Sep 30, 2023 | 2.65 Mn |
| Jun 30, 2023 | 2.87 Mn |
| Mar 31, 2023 | -1.06 Mn |
| Dec 31, 2022 | -777,221.60 |
| Sep 30, 2022 | 2.33 Mn |
| Jun 30, 2022 | 3.58 Mn |
| Mar 31, 2022 | 1.31 Mn |
| Sep 30, 2021 | 2.87 Mn |
| Jun 30, 2021 | 3.10 Mn |
Medicure Operating 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=operating-expenses&ticker=MCUJF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MCUJF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=MCUJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();