Acadia Pharmaceuticals (ACAD) Price to Earnings (2010 - 2026)
Acadia Pharmaceuticals (ACAD) posted Price to Earnings of 138.25 for Q2 2026, down 86.8% on a QoQ basis from 1047.12 in Q1 2026, and up 1.37% year-over-year from 136.39 in Q2 2025.
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Acadia Pharmaceuticals (ACAD) Price to Earnings (2010 - 2026) Analysis & Trends
Acadia Pharmaceuticals has reported Price to Earnings for 17 years, with the latest figure at 138.25 in Q2 2026.
- On a quarterly basis, Price to Earnings rose 1.37% year-over-year to 138.25 in Q2 2026; TTM through Jun 2026 was 11.45, a 30.08% decrease from a year earlier, with the FY2025 full-year figure at 11.63, down 13.88% from the prior year.
- Price to Earnings was 138.25 for Q2 2026 at Acadia Pharmaceuticals, down from 1047.12 in the prior quarter.
- The five-year high for Price to Earnings was 3512.0 in Q2 2023, with the low at 97.31 in Q3 2022.
- Average Price to Earnings over 5 years is 314.21, with a median of 79.4 recorded in 2024.
- The largest YoY upside for Price to Earnings was 5343.0% in 2023 against a maximum downside of 105.55% in 2023.
- Over 5 years, Price to Earnings stood at 454.32 in 2022, then sank by 75.22% to 112.57 in 2023, then tumbled by 81.09% to 21.28 in 2024, then declined by 21.87% to 16.63 in 2025, then soared by 731.43% to 138.25 in 2026.
- The last three Price to Earnings figures came in at 138.25 (Q2 2026), 1047.12 (Q1 2026), and 16.63 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn |
| 10 | Acadia Pharmaceuticals | 4.38 Bn | 3.42 Bn | 279.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.25 |
| Mar 31, 2026 | 1,047.12 |
| Dec 31, 2025 | 16.63 |
| Sep 30, 2025 | 50.29 |
| Jun 30, 2025 | 136.39 |
| Mar 31, 2025 | 146.19 |
| Dec 31, 2024 | 21.28 |
| Sep 30, 2024 | 78.09 |
| Jun 30, 2024 | 80.72 |
| Mar 31, 2024 | 184.24 |
| Dec 31, 2023 | 112.57 |
| Sep 30, 2023 | -52.43 |
| Jun 30, 2023 | 3,512.00 |
| Mar 31, 2023 | -71.04 |
| Dec 31, 2022 | 454.32 |
| Sep 30, 2022 | -97.31 |
| Jun 30, 2022 | -66.98 |
| Mar 31, 2022 | -34.56 |
| Dec 31, 2021 | -496.83 |
| Sep 30, 2021 | -184.62 |
API Access
Acadia Pharmaceuticals Price to Earnings 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=price-to-earnings&ticker=ACAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ACAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();