Medicus Pharma (MDCX) Operating Expenses (2024 - 2026)
Medicus Pharma (MDCX) reported Operating Expenses of $11.48 million for Q2 2026, up 90.8% from $6.02 million a year earlier.
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Analysis
Medicus Pharma (MDCX) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Medicus Pharma's Operating Expenses came in at $25.29 million, up 48.2% year-over-year; for FY2025, it was $34.36 million, up 207.3% from FY2024.
- By year, Operating Expenses came in at $11.18 million in FY2024 (+136.4%) and $4.73 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2024.
- Year over year, Operating Expenses gained in four of the last five quarters, with growth averaging 75.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Medicus Pharma | 2.97 Mn | -39.24 Mn | - | 11.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.48 Mn |
| Dec 31, 2025 | 7.79 Mn |
| Sep 30, 2025 | 15.00 |
| Jun 30, 2025 | 6.02 Mn |
| Mar 31, 2025 | 5.13 Mn |
| Dec 31, 2024 | 3.59 Mn |
| Sep 30, 2024 | 2.33 Mn |
| Jun 30, 2024 | 3.55 Mn |
| Mar 31, 2024 | 1.71 Mn |
API Access
Medicus Pharma 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=MDCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MDCX", "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=MDCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();