MapLight Therapeutics (MPLT) Operating Expenses (2024 - 2026)
MapLight Therapeutics (MPLT) reported Operating Expenses of $63.55 million for Q2 2026, up 107.2% from $30.66 million a year earlier.
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Analysis
MapLight Therapeutics (MPLT) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, MapLight Therapeutics' Operating Expenses came in at $209.09 million; for FY2025, it came in at $169.08 million, up 103.8% from FY2024.
- By year, Operating Expenses came in at $82.95 million in FY2024.
- Five-year quarterly Operating Expenses spans a low of $20.89 million in Q3 2024 and a high of $83.38 million in Q4 2025.
Peer Set
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 | MapLight Therapeutics | 474.82 Mn | 474.82 Mn | - | 63.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.55 Mn |
| Dec 31, 2025 | 83.38 Mn |
| Sep 30, 2025 | 31.50 Mn |
| Jun 30, 2025 | 30.66 Mn |
| Dec 31, 2024 | 22.78 Mn |
| Sep 30, 2024 | 20.89 Mn |
API Access
MapLight Therapeutics 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=MPLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MPLT", "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=MPLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();