Alpha Cognition (ACOG) Total Non-Current Liabilities (2023 - 2026)
Alpha Cognition (ACOG) reported Total Non-Current Liabilities of $6.48 million for Q2 2026, down 24.3% from $8.56 million a year earlier.
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Analysis
Alpha Cognition (ACOG) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Alpha Cognition posted Total Non-Current Liabilities of $12.39 million, up 112.8% from FY2024.
- By year, Total Non-Current Liabilities came in at $5.82 million in FY2024 (+115.6%) and $2.7 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year over year, Total Non-Current Liabilities gained in three of the last four quarters, with growth averaging 60.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Alpha Cognition | 180.40 Mn | -1.84 Mn | 5.70 Mn | 6.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.44 Mn |
| Dec 31, 2025 | 12.34 Mn |
| Sep 30, 2025 | 4.61 Mn |
| Jun 30, 2025 | 8.37 Mn |
| Mar 31, 2025 | 5.24 Mn |
| Dec 31, 2024 | 5.72 Mn |
| Sep 30, 2024 | 5.07 Mn |
| Jun 30, 2024 | 45,898.00 |
| Dec 31, 2023 | 2.62 Mn |
API Access
Alpha Cognition Total Non-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-non-current-liabilities&ticker=ACOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ACOG", "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-non-current-liabilities&ticker=ACOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();