Atai Beckley (ATAI) Research & Development (2020 - 2025)
Atai Beckley's Research & Development came in at $14.68 million for Q3 2025, up 18.6% from $12.38 million a year earlier and up 32.3% from the prior quarter.
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Analysis
Atai Beckley (ATAI) Research & Development (2020 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Atai Beckley reported Research & Development of $56.04 million, up 10.6% year-over-year; for FY2024, it came in at $55.46 million, down 10.8% from FY2023.
- Research & Development carries a four-year compound annual growth rate of 48.5% (FY2020 to FY2024).
- Going back by year, Research & Development was $62.2 million in FY2023 (-16.3%), $74.31 million in FY2022 (+55.0%), $47.96 million in FY2021 (+320.4%) and $11.41 million in FY2020.
- The five-year range for quarterly Research & Development is $3.35 million (Q4 2020) to $21.88 million (Q4 2022).
- Year-over-year, Research & Development increased in two of the last eight quarters, with an average decline of 7.8%.
- The fastest year-over-year change in Research & Development over five years came in Q2 2021 (growth of 461.5%), and the weakest in Q1 2024 (a decline of 40.2%).
- Business Quant data shows ATAI's Research & Development at $11.09 million (Q2 2025), $11.33 million (Q1 2025) and $18.94 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Atai Beckley | 1.77 Bn | 1.77 Bn | - | 14.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 14.68 Mn |
| Jun 30, 2025 | 11.09 Mn |
| Mar 31, 2025 | 11.33 Mn |
| Dec 31, 2024 | 18.94 Mn |
| Sep 30, 2024 | 12.38 Mn |
| Jun 30, 2024 | 12.61 Mn |
| Mar 31, 2024 | 11.53 Mn |
| Dec 31, 2023 | 14.16 Mn |
| Sep 30, 2023 | 13.29 Mn |
| Jun 30, 2023 | 15.48 Mn |
| Mar 31, 2023 | 19.28 Mn |
| Dec 31, 2022 | 21.88 Mn |
| Sep 30, 2022 | 19.03 Mn |
| Jun 30, 2022 | 17.95 Mn |
| Mar 31, 2022 | 15.46 Mn |
| Dec 31, 2021 | 12.98 Mn |
| Sep 30, 2021 | 13.36 Mn |
| Jun 30, 2021 | 16.03 Mn |
| Mar 31, 2021 | 5.59 Mn |
| Dec 31, 2020 | 3.35 Mn |
API Access
Atai Beckley Research & Development 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=research-and-development&ticker=ATAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "ATAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=ATAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();