Medicus Pharma (MDCX) Research & Development (2024 - 2026)
Medicus Pharma (MDCX) recorded Research & Development of $4.91 million in Q2 2026, up 240.9% from $1.44 million a year earlier.
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Analysis
Medicus Pharma (MDCX) Research & Development (2024 - 2026) Analysis & Trends
On a TTM basis, Medicus Pharma's Research & Development came in at $15.06 million as of Jun 30, 2026, up 180.3% year-over-year; for FY2025, it came in at $8.72 million, up 147.1% from FY2024.
- Across earlier years, Research & Development came in at $3.53 million in FY2024 and $193,578 in FY2023.
- Quarterly Research & Development has ranged from $321,377 in Q1 2024 to $8.72 million in Q3 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.85 Bn | 1,106.43 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 618.85 Bn | 537.37 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 503.03 Bn | 476.14 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 368.52 Bn | 322.90 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.19 Bn | 262.18 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.33 Bn | 235.02 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 237.14 Bn | 192.53 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 191.35 Bn | 165.54 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 169.80 Bn | 116.45 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Medicus Pharma | 2.97 Mn | -39.24 Mn | - | 4.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.91 Mn |
| Sep 30, 2025 | 8.72 Mn |
| Jun 30, 2025 | 1.44 Mn |
| Mar 31, 2025 | 2.01 Mn |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 564,145.00 |
| Jun 30, 2024 | 1.28 Mn |
| Mar 31, 2024 | 321,377.00 |
API Access
Medicus Pharma Research & Development 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=research-and-development&ticker=MDCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MDCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();