Alpha Cognition (ACOG) Other Accumulated Expenses (2023 - 2026)
Alpha Cognition (ACOG) posted Other Accumulated Expenses of $556,957 for Q2 2026, down 30.9% from $805,761 a year earlier.
Analysis
Alpha Cognition (ACOG) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Alpha Cognition's Other Accumulated Expenses came in at $1.59 million, up 72.5% from FY2024.
- In prior years, Alpha Cognition's Other Accumulated Expenses was $923,550 in FY2024 (+625.6%) and $127,284 in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Other Accumulated Expenses since Q3 2024.
- On a year-over-year basis, Other Accumulated Expenses increased in four of the last five quarters, with growth averaging 251.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Alpha Cognition | 198.14 Mn | 15.91 Mn | 5.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 556,957.00 |
| Dec 31, 2025 | 1.59 Mn |
| Sep 30, 2025 | 1.37 Mn |
| Jun 30, 2025 | 805,761.00 |
| Mar 31, 2025 | 1.27 Mn |
| Dec 31, 2024 | 923,550.00 |
| Sep 30, 2024 | 274,955.00 |
| Jun 30, 2024 | 275,574.00 |
| Dec 31, 2023 | 127,284.00 |
API Access
Alpha Cognition Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ACOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ACOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();