Atai Beckley (ATAI) Total Current Liabilities (2020 - 2025)
Atai Beckley's Total Current Liabilities came in at $16.54 million for Q3 2025, down 15.8% from $19.64 million a year earlier and down 35.2% from the prior quarter.
Atai Beckley (ATAI) Total Current Liabilities (2020 - 2025) Analysis & Trends
At the end of FY2024, Atai Beckley's Total Current Liabilities was $24.95 million, up 24.0% from FY2023.
- Total Current Liabilities carries a four-year compound annual growth rate of 19.3% (FY2020 to FY2024).
- Going back by year, Total Current Liabilities was $20.12 million in FY2023 (+1.1%), $19.9 million in FY2022 (-5.0%), $20.94 million in FY2021 (+70.2%) and $12.3 million in FY2020.
- The Q3 2025 figure represents the lowest quarterly Total Current Liabilities since Q1 2024.
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 14.7%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2025 (growth of 89.8%), and the weakest in Q1 2024 (a decline of 24.8%).
- Business Quant data shows ATAI's Total Current Liabilities at $25.55 million (Q2 2025), $28.5 million (Q1 2025) and $24.95 million (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Atai Beckley | 1.77 Bn | 1.77 Bn | - | 16.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 16.54 Mn |
| Jun 30, 2025 | 25.55 Mn |
| Mar 31, 2025 | 28.50 Mn |
| Dec 31, 2024 | 24.95 Mn |
| Sep 30, 2024 | 19.64 Mn |
| Jun 30, 2024 | 17.64 Mn |
| Mar 31, 2024 | 15.01 Mn |
| Dec 31, 2023 | 20.12 Mn |
| Sep 30, 2023 | 19.70 Mn |
| Jun 30, 2023 | 17.93 Mn |
| Mar 31, 2023 | 19.95 Mn |
| Dec 31, 2022 | 19.90 Mn |
| Sep 30, 2022 | 25.91 Mn |
| Jun 30, 2022 | 21.96 Mn |
| Mar 31, 2022 | 22.09 Mn |
| Dec 31, 2021 | 20.94 Mn |
| Sep 30, 2021 | 15.32 Mn |
| Jun 30, 2021 | 14.19 Mn |
| Dec 31, 2020 | 12.30 Mn |
Atai Beckley Total Current 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-current-liabilities&ticker=ATAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ATAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();