Atai Beckley (ATAI) Total Liabilities (2020 - 2025)
Atai Beckley's Total Liabilities was $79.91 million in Q3 2025, up 56.1% from $51.2 million a year earlier and up 76.5% from the prior quarter.
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Analysis
Atai Beckley (ATAI) Total Liabilities (2020 - 2025) Analysis & Trends
At the end of FY2024, Total Liabilities at Atai Beckley came in at $42.83 million, down 12.9% from FY2023.
- Total Liabilities shows a four-year compound annual growth rate of 27.6% (FY2020 to FY2024).
- In earlier years, Total Liabilities was $49.16 million in FY2023 (+23.9%), $39.68 million in FY2022 (+40.7%), $28.21 million in FY2021 (+74.3%) and $16.18 million in FY2020.
- The Q3 2025 figure marks the highest quarterly Total Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Liabilities was higher in five of the last eight quarters, with growth averaging 15.7%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 117.9%); the worst was Q3 2023 (a decline of 14.6%).
- Per Business Quant data, ATAI's Total Liabilities in the three quarters before Q3 2025 was $45.28 million (Q2 2025), $43.51 million (Q1 2025) and $42.83 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Atai Beckley | 1.77 Bn | 1.77 Bn | - | 79.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 79.91 Mn |
| Jun 30, 2025 | 45.28 Mn |
| Mar 31, 2025 | 43.51 Mn |
| Dec 31, 2024 | 42.83 Mn |
| Sep 30, 2024 | 51.20 Mn |
| Jun 30, 2024 | 47.25 Mn |
| Mar 31, 2024 | 45.86 Mn |
| Dec 31, 2023 | 49.16 Mn |
| Sep 30, 2023 | 39.71 Mn |
| Jun 30, 2023 | 37.96 Mn |
| Mar 31, 2023 | 40.08 Mn |
| Dec 31, 2022 | 39.68 Mn |
| Sep 30, 2022 | 46.52 Mn |
| Jun 30, 2022 | 28.81 Mn |
| Mar 31, 2022 | 29.38 Mn |
| Dec 31, 2021 | 28.21 Mn |
| Sep 30, 2021 | 21.35 Mn |
| Jun 30, 2021 | 21.07 Mn |
| Dec 31, 2020 | 16.18 Mn |
API Access
Atai Beckley Total 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-liabilities&ticker=ATAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ATAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();