Atai Beckley N.V. (ATAI) Accumulated Expenses (2020 - 2025)
Atai Beckley's Accumulated Expenses was $10.46 million in Q3 2025, down 12.5% from $11.95 million a year earlier and down 27.9% from the prior quarter.
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Analysis
Atai Beckley N.V. (ATAI) Accumulated Expenses (2020 - 2025) Analysis & Trends
At the end of FY2024, Accumulated Expenses at Atai Beckley came in at $9.85 million, down 35.5% from FY2023.
- Accumulated Expenses shows a four-year compound annual growth rate of 1.7% (FY2020 to FY2024).
- In earlier years, Accumulated Expenses was $15.26 million in FY2023 (-11.8%), $17.31 million in FY2022 (+16.7%), $14.83 million in FY2021 (+60.9%) and $9.22 million in FY2020.
- Quarterly Accumulated Expenses has moved between $7.82 million (Q2 2021) and $22.14 million (Q3 2022) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last eight quarters, with an average decline of 12.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2022 (growth of 141.7%); the worst was Q3 2023 (a decline of 41.3%).
- Per Business Quant data, ATAI's Accumulated Expenses in the three quarters before Q3 2025 was $14.51 million (Q2 2025), $8.68 million (Q1 2025) and $9.85 million (Q4 2024).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 10.46 Mn |
| Jun 30, 2025 | 14.51 Mn |
| Mar 31, 2025 | 8.68 Mn |
| Dec 31, 2024 | 9.85 Mn |
| Sep 30, 2024 | 11.95 Mn |
| Jun 30, 2024 | 12.91 Mn |
| Mar 31, 2024 | 10.93 Mn |
| Dec 31, 2023 | 15.26 Mn |
| Sep 30, 2023 | 13.01 Mn |
| Jun 30, 2023 | 12.86 Mn |
| Mar 31, 2023 | 13.82 Mn |
| Dec 31, 2022 | 17.31 Mn |
| Sep 30, 2022 | 22.14 Mn |
| Jun 30, 2022 | 18.91 Mn |
| Mar 31, 2022 | 18.25 Mn |
| Dec 31, 2021 | 14.83 Mn |
| Sep 30, 2021 | 13.08 Mn |
| Jun 30, 2021 | 7.82 Mn |
| Dec 31, 2020 | 9.22 Mn |
API Access
Atai Beckley N.V. Accumulated 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=accumulated-expenses&ticker=ATAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ATAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();