Cognition Therapeutics (CGTX) Operating Expenses (2020 - 2026)
Cognition Therapeutics' Operating Expenses came in at $7.74 million for Q2 2026, down 44.6% from $13.98 million a year earlier and down 12.2% from the prior quarter.
Cognition Therapeutics (CGTX) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cognition Therapeutics reported Operating Expenses of $36.6 million, down 30.9% year-over-year; for FY2025, it came in at $47.8 million, down 11.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $53.97 million in FY2024 (+6.4%), $50.72 million in FY2023 (+16.5%), $43.55 million in FY2022 (+52.3%) and $28.6 million in FY2021 (+64.3%).
- The five-year range for quarterly Operating Expenses is $5.22 million (Q3 2021) to $15.19 million (Q4 2023).
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 18.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 186.6%), and the weakest in Q3 2025 (a decline of 55.9%).
- Business Quant data shows CGTX's Operating Expenses at $8.82 million (Q1 2026), $13.67 million (Q4 2025) and $6.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Cognition Therapeutics | 91.25 Mn | 91.25 Mn | - | 7.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.74 Mn |
| Mar 31, 2026 | 8.82 Mn |
| Dec 31, 2025 | 13.67 Mn |
| Sep 30, 2025 | 6.38 Mn |
| Jun 30, 2025 | 13.98 Mn |
| Mar 31, 2025 | 13.78 Mn |
| Dec 31, 2024 | 10.72 Mn |
| Sep 30, 2024 | 14.46 Mn |
| Jun 30, 2024 | 14.68 Mn |
| Mar 31, 2024 | 14.10 Mn |
| Dec 31, 2023 | 15.19 Mn |
| Sep 30, 2023 | 14.75 Mn |
| Jun 30, 2023 | 11.82 Mn |
| Mar 31, 2023 | 8.97 Mn |
| Dec 31, 2022 | 12.21 Mn |
| Sep 30, 2022 | 12.63 Mn |
| Mar 31, 2022 | 9.41 Mn |
| Dec 31, 2021 | 11.81 Mn |
| Sep 30, 2021 | 5.22 Mn |
| Dec 31, 2020 | 4.12 Mn |
Cognition Therapeutics Operating 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=operating-expenses&ticker=CGTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();