Medicure (MCUJF) Operating Leases (2019 - 2026)
Medicure (MCUJF) recorded Operating Leases of $194,467 in the quarter ended Jun 30, 2026, down 55.9% from $440,966 a year earlier and down 23.4% from the prior quarter.
Medicure (MCUJF) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Medicure reported Operating Leases of $305,613, down 17.3% from the prior year.
- Annual Operating Leases has a five-year compound annual growth rate of -17.6% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Leases came in at $369,582 in the year ended Dec 31, 2024 (+117.8%), $169,727 in the year ended Dec 31, 2023 (-56.1%), $386,891 in the year ended Dec 31, 2022 (-38.5%) and $629,587 in the year ended Dec 31, 2021 (-21.9%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Operating Leases since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Operating Leases has declined for four consecutive quarters, with growth averaging 48.6% over the last seven quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 222.5% in the quarter ended Jun 30, 2025, against a decline of 55.9% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $253,764 (quarter ended Mar 31, 2026), $306,196 (quarter ended Dec 31, 2025) and $377,850 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,153.07 Bn | 1,121.65 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.88 Bn | 543.40 Bn | 17.26 Bn |
| 3 | AbbVie | 514.08 Bn | 487.19 Bn | 12.70 Bn |
| 4 | Merck | 366.14 Bn | 320.52 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.86 Bn | 261.85 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.47 Bn | 235.16 Bn | 12.86 Bn |
| 7 | Amgen | 235.14 Bn | 190.54 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.12 Bn | 168.32 Bn | 6.22 Bn |
| 9 | Pfizer | 172.20 Bn | 118.84 Bn | 10.94 Bn |
| 10 | Medicure | 32.67 Mn | 24.51 Mn | 2.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189,316.63 |
| Mar 31, 2026 | 249,851.01 |
| Dec 31, 2025 | 311,799.44 |
| Sep 30, 2025 | 373,665.20 |
| Jun 30, 2025 | 446,591.73 |
| Mar 31, 2025 | 311,689.77 |
| Dec 31, 2024 | 352,618.13 |
| Sep 30, 2024 | 411,583.57 |
| Jun 30, 2024 | 136,503.33 |
| Mar 31, 2024 | 155,141.84 |
| Dec 31, 2023 | 173,096.68 |
| Sep 30, 2023 | 203,839.60 |
| Mar 31, 2023 | 315,784.03 |
| Dec 31, 2022 | 371,162.90 |
| Sep 30, 2022 | 438,041.59 |
| Jun 30, 2022 | 496,767.16 |
| Mar 31, 2022 | 572,009.97 |
| Dec 31, 2021 | 619,095.41 |
| Sep 30, 2021 | 680,581.46 |
| Jun 30, 2021 | 748,616.54 |
Medicure Operating Leases 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-leases&ticker=MCUJF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=MCUJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();