Madrigal Pharmaceuticals (MDGL) Operating Expenses (2010 - 2026)
Madrigal Pharmaceuticals (MDGL) reported Operating Expenses of $420.56 million for Q2 2026, up 61.8% from $260 million a year earlier and up 4.1% from the prior quarter.
Madrigal Pharmaceuticals (MDGL) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Madrigal Pharmaceuticals' Operating Expenses came in at $1.61 billion, up 94.6% year-over-year; for FY2025, it was $1.26 billion, up 85.6% from FY2024.
- Operating Expenses has increased for ten consecutive years, with a five-year compound annual growth rate of 43.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $678.01 million in FY2024 (+78.2%), $380.5 million in FY2023 (+29.6%), $293.57 million in FY2022 (+21.1%) and $242.48 million in FY2021 (+17.3%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year over year, Operating Expenses has now increased in each of the last 32 quarters, with growth averaging 76.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 7.4% in Q3 2021 to 124.8% in Q3 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $404.06 million (Q1 2026), $380.69 million (Q4 2025) and $401.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Madrigal Pharmaceuticals | 15.07 Bn | 11.32 Bn | - | 420.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 420.56 Mn |
| Mar 31, 2026 | 404.06 Mn |
| Dec 31, 2025 | 380.69 Mn |
| Sep 30, 2025 | 401.24 Mn |
| Jun 30, 2025 | 260.00 Mn |
| Mar 31, 2025 | 216.56 Mn |
| Dec 31, 2024 | 170.32 Mn |
| Sep 30, 2024 | 178.48 Mn |
| Jun 30, 2024 | 177.18 Mn |
| Mar 31, 2024 | 152.04 Mn |
| Dec 31, 2023 | 117.18 Mn |
| Sep 30, 2023 | 98.53 Mn |
| Jun 30, 2023 | 86.45 Mn |
| Mar 31, 2023 | 78.34 Mn |
| Dec 31, 2022 | 85.30 Mn |
| Sep 30, 2022 | 80.41 Mn |
| Jun 30, 2022 | 70.27 Mn |
| Mar 31, 2022 | 57.59 Mn |
| Dec 31, 2021 | 64.60 Mn |
| Sep 30, 2021 | 63.16 Mn |
Madrigal Pharmaceuticals 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=MDGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MDGL", "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=MDGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();