Alpha Cognition (ACOG) Amortization - Intangibles (2024 - 2026)
Alpha Cognition (ACOG) reported Amortization - Intangibles of $74,229 for Q2 2026, compared with $5,386 a year earlier.
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Analysis
Alpha Cognition (ACOG) Amortization - Intangibles (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alpha Cognition's Amortization - Intangibles came in at $90,388, up 79.7% year-over-year; for FY2025, it was $21,546, down 73.0% from FY2024.
- By year, Amortization - Intangibles came in at $79,875 in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Amortization - Intangibles in data going back to Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Alpha Cognition | 195.97 Mn | 13.73 Mn | 5.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74,229.00 |
| Dec 31, 2025 | 5,386.00 |
| Sep 30, 2025 | 5,387.00 |
| Jun 30, 2025 | 5,386.00 |
| Mar 31, 2025 | 5,387.00 |
| Dec 31, 2024 | 19,760.00 |
| Sep 30, 2024 | 19,761.00 |
| Jun 30, 2024 | 19,760.00 |
| Mar 31, 2024 | 20,594.00 |
API Access
Alpha Cognition Amortization - Intangibles 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=amortization-intangibles&ticker=ACOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=ACOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();