Acadia Pharmaceuticals (ACAD) Accumulated Expenses (2010 - 2026)
Acadia Pharmaceuticals (ACAD) posted Accumulated Expenses of $316.87 million for Q2 2026, up 2.2% from $309.93 million a year earlier and up 8.0% from the prior quarter.
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Analysis
Acadia Pharmaceuticals (ACAD) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Acadia Pharmaceuticals' Accumulated Expenses came in at $266.21 million, down 29.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In prior years, Acadia Pharmaceuticals' Accumulated Expenses was $378.68 million in FY2024 (+60.0%), $236.71 million in FY2023 (+109.7%), $112.88 million in FY2022 (+26.6%) and $89.19 million in FY2021 (-8.5%).
- Quarterly Accumulated Expenses has run from a low of $80.5 million in Q3 2021 to a high of $378.68 million in Q4 2024 over five years.
- On a year-over-year basis, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 11.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 109.7%; the weakest was Q4 2025, with a decline of 29.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $293.28 million (Q1 2026), $266.21 million (Q4 2025) and $334.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Acadia Pharmaceuticals | 3.48 Bn | 2.04 Mn | 279.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 316.87 Mn |
| Mar 31, 2026 | 293.28 Mn |
| Dec 31, 2025 | 266.21 Mn |
| Sep 30, 2025 | 334.84 Mn |
| Jun 30, 2025 | 309.93 Mn |
| Mar 31, 2025 | 284.44 Mn |
| Dec 31, 2024 | 378.68 Mn |
| Sep 30, 2024 | 324.86 Mn |
| Jun 30, 2024 | 317.97 Mn |
| Mar 31, 2024 | 311.27 Mn |
| Dec 31, 2023 | 236.71 Mn |
| Sep 30, 2023 | 197.29 Mn |
| Jun 30, 2023 | 169.13 Mn |
| Mar 31, 2023 | 206.88 Mn |
| Dec 31, 2022 | 112.88 Mn |
| Sep 30, 2022 | 106.56 Mn |
| Jun 30, 2022 | 105.83 Mn |
| Mar 31, 2022 | 108.84 Mn |
| Dec 31, 2021 | 89.19 Mn |
| Sep 30, 2021 | 80.50 Mn |
API Access
Acadia Pharmaceuticals Accumulated 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=accumulated-expenses&ticker=ACAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ACAD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ACAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();