Atai Beckley (ATAI) Operating Expenses (2020 - 2025)
Atai Beckley's Operating Expenses came in at $29.19 million for Q3 2025, up 28.9% from $22.64 million a year earlier and up 12.3% from the prior quarter.
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Analysis
Atai Beckley (ATAI) Operating Expenses (2020 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Atai Beckley reported Operating Expenses of $107.36 million, up 1.0% year-over-year; for FY2024, it was $103 million, down 18.1% from FY2023.
- Operating Expenses has declined in each of the last three years, with a four-year compound annual growth rate of -0.3% (FY2020 to FY2024).
- Going back by year, Operating Expenses was $125.79 million in FY2023 (-13.3%), $145.02 million in FY2022 (-7.1%), $156.18 million in FY2021 (+49.9%) and $104.16 million in FY2020.
- The five-year range for quarterly Operating Expenses is $15.83 million (Q1 2021) to $87.24 million (Q4 2020).
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 7.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2021 (growth of 952.7%), and the weakest in Q4 2021 (a decline of 48.0%).
- Business Quant data shows ATAI's Operating Expenses at $25.99 million (Q2 2025), $21.93 million (Q1 2025) and $30.26 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Atai Beckley | 1.77 Bn | 1.77 Bn | - | 29.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 29.19 Mn |
| Jun 30, 2025 | 25.99 Mn |
| Mar 31, 2025 | 21.93 Mn |
| Dec 31, 2024 | 30.26 Mn |
| Sep 30, 2024 | 22.64 Mn |
| Jun 30, 2024 | 26.00 Mn |
| Mar 31, 2024 | 24.09 Mn |
| Dec 31, 2023 | 33.58 Mn |
| Sep 30, 2023 | 26.92 Mn |
| Jun 30, 2023 | 32.03 Mn |
| Mar 31, 2023 | 33.25 Mn |
| Dec 31, 2022 | 37.60 Mn |
| Sep 30, 2022 | 38.45 Mn |
| Jun 30, 2022 | 35.53 Mn |
| Mar 31, 2022 | 33.44 Mn |
| Dec 31, 2021 | 45.41 Mn |
| Sep 30, 2021 | 33.63 Mn |
| Jun 30, 2021 | 61.32 Mn |
| Mar 31, 2021 | 15.83 Mn |
| Dec 31, 2020 | 87.24 Mn |
API Access
Atai Beckley Operating Expenses 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=operating-expenses&ticker=ATAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ATAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();