Acadia Pharmaceuticals (ACAD) EV to EBITDA (2010 - 2026)
Acadia Pharmaceuticals (ACAD) posted EV to EBITDA of 89.82 for Q2 2026, up 114.02% on a QoQ basis from 640.58 in Q1 2026, and up 1.15% year-over-year from 88.8 in Q2 2025.
Powered by 
Analysis
Acadia Pharmaceuticals (ACAD) EV to EBITDA (2010 - 2026) Analysis & Trends
Acadia Pharmaceuticals has reported EV to EBITDA for 17 years, with the latest figure at 89.82 in Q2 2026.
- On a quarterly basis, EV to EBITDA rose 1.15% year-over-year to 89.82 in Q2 2026; TTM through Jun 2026 was 39.35, a 224.13% increase from a year earlier, with the FY2025 full-year figure at 35.58, up 256.56% from the prior year.
- EV to EBITDA was 89.82 for Q2 2026 at Acadia Pharmaceuticals, up from 640.58 in the prior quarter.
- The five-year high for EV to EBITDA was 1164.63 in Q2 2023, with the low at 640.58 in Q1 2026.
- Average EV to EBITDA over 5 years is 69.49, with a median of 67.54 recorded in 2024.
- The sharpest annual moves came in 2023 and 2026: EV to EBITDA jumped 2225.32% in 2023, then sank 690.04% in 2026.
- Over 5 years, EV to EBITDA stood at 46.96 in 2022, then soared by 387.39% to 134.97 in 2023, then tumbled by 88.88% to 15.0 in 2024, then surged by 1329.23% to 214.44 in 2025, then slumped by 58.11% to 89.82 in 2026.
- The last three EV to EBITDA figures came in at 89.82 (Q2 2026), 640.58 (Q1 2026), and 214.44 (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 | 89.82 |
| Mar 31, 2026 | -640.58 |
| Dec 31, 2025 | 214.44 |
| Sep 30, 2025 | 77.26 |
| Jun 30, 2025 | 88.80 |
| Mar 31, 2025 | 108.57 |
| Dec 31, 2024 | 15.00 |
| Sep 30, 2024 | 62.99 |
| Jun 30, 2024 | 72.09 |
| Mar 31, 2024 | 169.60 |
| Dec 31, 2023 | 134.97 |
| Sep 30, 2023 | -53.16 |
| Jun 30, 2023 | 1,164.63 |
| Mar 31, 2023 | -49.51 |
| Dec 31, 2022 | -46.96 |
| Sep 30, 2022 | -71.65 |
| Jun 30, 2022 | -54.80 |
| Mar 31, 2022 | -30.64 |
| Dec 31, 2021 | -72.49 |
| Sep 30, 2021 | -139.13 |
API Access
Acadia Pharmaceuticals EV to EBITDA 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=ev-to-ebitda&ticker=ACAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=ACAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();