Acadia Pharmaceuticals (ACAD) Receivables (2016 - 2026)
Acadia Pharmaceuticals' Receivables was $150.64 million in Q2 2026, up 40.1% from $107.51 million a year earlier and up 11.3% from the prior quarter.
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Analysis
Acadia Pharmaceuticals (ACAD) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Acadia Pharmaceuticals came in at $121.46 million, up 23.0% from FY2024.
- Receivables has now increased for three consecutive years, with a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- In earlier years, Receivables was $98.74 million in FY2024 (+0.5%), $98.27 million in FY2023 (+58.0%), $62.2 million in FY2022 (-3.4%) and $64.37 million in FY2021 (+33.4%).
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q2 2016.
- Compared with a year earlier, Receivables has increased for 14 straight quarters, with growth averaging 16.3% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q3 2023 (growth of 66.5%); the worst was Q3 2022 (a decline of 8.2%).
- Per Business Quant data, ACAD's Receivables in the three quarters before Q2 2026 was $135.35 million (Q1 2026), $121.46 million (Q4 2025) and $115.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.21 Bn | 1,100.80 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 616.27 Bn | 534.80 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 500.10 Bn | 473.21 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 366.86 Bn | 321.23 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 297.92 Bn | 261.91 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.53 Bn | 235.22 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 234.99 Bn | 190.39 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 190.14 Bn | 164.34 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 169.63 Bn | 116.28 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Acadia Pharmaceuticals | 3.49 Bn | 12.34 Mn | 279.64 Mn | 150.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.64 Mn |
| Mar 31, 2026 | 135.35 Mn |
| Dec 31, 2025 | 121.46 Mn |
| Sep 30, 2025 | 115.85 Mn |
| Jun 30, 2025 | 107.51 Mn |
| Mar 31, 2025 | 105.74 Mn |
| Dec 31, 2024 | 98.74 Mn |
| Sep 30, 2024 | 98.21 Mn |
| Jun 30, 2024 | 103.70 Mn |
| Mar 31, 2024 | 94.70 Mn |
| Dec 31, 2023 | 98.27 Mn |
| Sep 30, 2023 | 92.80 Mn |
| Jun 30, 2023 | 81.85 Mn |
| Mar 31, 2023 | 65.92 Mn |
| Dec 31, 2022 | 62.20 Mn |
| Sep 30, 2022 | 55.73 Mn |
| Jun 30, 2022 | 67.95 Mn |
| Mar 31, 2022 | 62.71 Mn |
| Dec 31, 2021 | 64.37 Mn |
| Sep 30, 2021 | 60.70 Mn |
API Access
Acadia Pharmaceuticals Receivables 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=receivables&ticker=ACAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ACAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();