Medicure (MCUJF) Receivables (2009 - 2026)
Medicure's Receivables was $3.42 million in the quarter ended Jun 30, 2026, down 6.8% from $3.67 million a year earlier and down 17.5% from the prior quarter.
Medicure (MCUJF) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at Medicure came in at $3.52 million, down 9.7% from the prior year.
- Receivables shows a five-year compound annual growth rate of -2.7% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables was $3.9 million in the year ended Dec 31, 2024 (+1.8%), $3.83 million in the year ended Dec 31, 2023 (-13.4%), $4.42 million in the year ended Dec 31, 2022 (+17.2%) and $3.77 million in the year ended Dec 31, 2021 (-6.6%).
- Quarterly Receivables has moved between $3.15 million (the quarter ended Mar 31, 2025) and $4.84 million (the quarter ended Sep 30, 2024) over five years.
- Compared with a year earlier, Receivables was higher in four of the last eight quarters, with an average decline of 0.8%.
- The best year-over-year quarter for Receivables over five years was the quarter ended Mar 31, 2026 (growth of 31.7%); the worst was the quarter ended Sep 30, 2025 (a decline of 32.4%).
- Per Business Quant data, MCUJF's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $4.15 million (quarter ended Mar 31, 2026), $3.52 million (quarter ended Dec 31, 2025) and $3.28 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Medicure | 32.35 Mn | 24.20 Mn | 2.31 Mn | 3.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.33 Mn |
| Mar 31, 2026 | 4.08 Mn |
| Dec 31, 2025 | 3.59 Mn |
| Sep 30, 2025 | 3.24 Mn |
| Jun 30, 2025 | 3.72 Mn |
| Mar 31, 2025 | 3.16 Mn |
| Dec 31, 2024 | 3.72 Mn |
| Sep 30, 2024 | 4.89 Mn |
| Jun 30, 2024 | 3.27 Mn |
| Mar 31, 2024 | 3.97 Mn |
| Dec 31, 2023 | 3.90 Mn |
| Sep 30, 2023 | 4.10 Mn |
| Mar 31, 2023 | 4.59 Mn |
| Dec 31, 2022 | 4.24 Mn |
| Sep 30, 2022 | 3.89 Mn |
| Jun 30, 2022 | 4.63 Mn |
| Mar 31, 2022 | 4.80 Mn |
| Dec 31, 2021 | 3.71 Mn |
| Sep 30, 2021 | 3.71 Mn |
| Jun 30, 2021 | 4.32 Mn |
Medicure Receivables 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=receivables&ticker=MCUJF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MCUJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();