MapLight Therapeutics (MPLT) Change in Accrued Expenses (2024 - 2026)
MapLight Therapeutics (MPLT) posted Change in Accrued Expenses of $1.12 million for Q4 2025, down 6.7% from $1.21 million a year earlier and down 57.0% from the prior quarter.
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Analysis
MapLight Therapeutics (MPLT) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
For FY2025, MapLight Therapeutics' Change in Accrued Expenses came in at $2.9 million, up 33.7% from FY2024.
- In prior years, MapLight Therapeutics' Change in Accrued Expenses was $2.17 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | MapLight Therapeutics | 338.05 Mn | 33.33 Mn | - | 5.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.84 Mn |
| Mar 31, 2026 | -1.88 Mn |
| Dec 31, 2025 | 1.12 Mn |
| Sep 30, 2025 | 2.61 Mn |
| Jun 30, 2025 | 1.28 Mn |
| Mar 31, 2025 | -2.12 Mn |
| Dec 31, 2024 | 1.21 Mn |
API Access
MapLight Therapeutics Change in Accrued 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=change-in-accured-expenses&ticker=MPLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MPLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();