Acadia Pharmaceuticals (ACAD) Total Liabilities (2010 - 2026)
Acadia Pharmaceuticals (ACAD) recorded Total Liabilities of $436.29 million in Q2 2026, up 8.2% from $403.17 million a year earlier and up 22.2% from the prior quarter.
Acadia Pharmaceuticals (ACAD) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Acadia Pharmaceuticals reported Total Liabilities of $336.81 million, down 26.0% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $454.96 million in FY2024 (+43.4%), $317.2 million in FY2023 (+69.3%), $187.4 million in FY2022 (+17.7%) and $159.23 million in FY2021 (+2.3%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities rose in five of the last eight quarters, with growth averaging 8.7%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 69.3% in Q4 2023, against a decline of 26.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $357.16 million (Q1 2026), $336.81 million (Q4 2025) and $413.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Acadia Pharmaceuticals | 3.51 Bn | 36.36 Mn | 279.64 Mn | 436.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 436.29 Mn |
| Mar 31, 2026 | 357.16 Mn |
| Dec 31, 2025 | 336.81 Mn |
| Sep 30, 2025 | 413.50 Mn |
| Jun 30, 2025 | 403.17 Mn |
| Mar 31, 2025 | 367.13 Mn |
| Dec 31, 2024 | 454.96 Mn |
| Sep 30, 2024 | 399.69 Mn |
| Jun 30, 2024 | 397.40 Mn |
| Mar 31, 2024 | 391.06 Mn |
| Dec 31, 2023 | 317.20 Mn |
| Sep 30, 2023 | 270.37 Mn |
| Jun 30, 2023 | 246.98 Mn |
| Mar 31, 2023 | 281.05 Mn |
| Dec 31, 2022 | 187.40 Mn |
| Sep 30, 2022 | 176.81 Mn |
| Jun 30, 2022 | 177.92 Mn |
| Mar 31, 2022 | 179.45 Mn |
| Dec 31, 2021 | 159.23 Mn |
| Sep 30, 2021 | 150.72 Mn |
Acadia Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=ACAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ACAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();