Cognition Therapeutics (CGTX) Accumulated Expenses (2020 - 2026)
Cognition Therapeutics' Accumulated Expenses was $3.83 million in Q2 2026, down 59.1% from $9.37 million a year earlier but up 126.3% from the prior quarter.
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Analysis
Cognition Therapeutics (CGTX) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Cognition Therapeutics came in at $12 million, up 57.4% from FY2024.
- Accumulated Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 64.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $7.62 million in FY2024 (+87.9%), $4.06 million in FY2023 (+93.6%), $2.09 million in FY2022 (+19.6%) and $1.75 million in FY2021 (+76.2%).
- Quarterly Accumulated Expenses has moved between $740,000 (Q3 2021) and $12 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 23.6%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2022 (growth of 212.7%); the worst was Q1 2026 (a decline of 78.0%).
- Per Business Quant data, CGTX's Accumulated Expenses in the three quarters before Q2 2026 was $1.69 million (Q1 2026), $12 million (Q4 2025) and $3.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Cognition Therapeutics | 63.72 Mn | -68.99 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.88 Mn |
| Jun 30, 2026 | 3.83 Mn |
| Mar 31, 2026 | 1.69 Mn |
| Dec 31, 2025 | 12.00 Mn |
| Sep 30, 2025 | 3.92 Mn |
| Jun 30, 2025 | 9.37 Mn |
| Mar 31, 2025 | 7.71 Mn |
| Dec 31, 2024 | 7.62 Mn |
| Sep 30, 2024 | 9.51 Mn |
| Jun 30, 2024 | 6.06 Mn |
| Mar 31, 2024 | 4.73 Mn |
| Dec 31, 2023 | 4.06 Mn |
| Sep 30, 2023 | 4.29 Mn |
| Jun 30, 2023 | 2.42 Mn |
| Mar 31, 2023 | 2.12 Mn |
| Dec 31, 2022 | 2.09 Mn |
| Sep 30, 2022 | 2.31 Mn |
| Jun 30, 2022 | 1.67 Mn |
| Mar 31, 2022 | 1.38 Mn |
| Dec 31, 2021 | 1.75 Mn |
API Access
Cognition Therapeutics 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=accumulated-expenses&ticker=CGTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CGTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();