Atai Beckley (ATAI) Receivables (2022 - 2025)
Atai Beckley (ATAI) reported Receivables of $46,000 for Q3 2025, down 85.3% from $313,000 a year earlier and unchanged from the prior quarter.
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Analysis
Atai Beckley (ATAI) Receivables (2022 - 2025) Analysis & Trends
At the end of FY2024, Atai Beckley posted Receivables of $261,000, up 210.7% from FY2023.
- By year, Receivables came in at $84,000 in FY2023 (-78.7%) and $394,000 in FY2022.
- Five-year quarterly Receivables spans a low of $46,000 in Q1 2025 and a high of $394,000 in Q4 2022.
- Year over year, Receivables gained in two of the last five quarters, with growth averaging 47.2%.
- Per Business Quant data, the three quarters before Q3 2025 came in at $46,000 (Q2 2025), $46,000 (Q1 2025) and $261,000 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Atai Beckley | 1.77 Bn | 1.77 Bn | - | 46,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 46,000.00 |
| Jun 30, 2025 | 46,000.00 |
| Mar 31, 2025 | 46,000.00 |
| Dec 31, 2024 | 261,000.00 |
| Sep 30, 2024 | 313,000.00 |
| Jun 30, 2024 | 273,000.00 |
| Dec 31, 2023 | 84,000.00 |
| Sep 30, 2023 | 84,000.00 |
| Dec 31, 2022 | 394,000.00 |
API Access
Atai Beckley Receivables 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=receivables&ticker=ATAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ATAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();