Context Therapeutics (CNTX) Other Operating Expenses (2024 - 2026)
Context Therapeutics (CNTX) reported Other Operating Expenses of -$7.44 million for Q2 2026, compared with -$6.61 million a year earlier.
Context Therapeutics (CNTX) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Context Therapeutics' Other Operating Expenses came in at -$27.47 million; for FY2025, it was -$24.13 million.
- By year, Other Operating Expenses came in at -$18.77 million in FY2024 and -$10.48 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Other Operating Expenses since Q3 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$7.06 million (Q1 2026), -$7.16 million (Q4 2025) and -$5.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Context Therapeutics | 21.74 Mn | -218.72 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.44 Mn |
| Mar 31, 2026 | -7.06 Mn |
| Dec 31, 2025 | -7.16 Mn |
| Sep 30, 2025 | -5.81 Mn |
| Jun 30, 2025 | -6.61 Mn |
| Mar 31, 2025 | -4.47 Mn |
| Dec 31, 2024 | -4.18 Mn |
| Sep 30, 2024 | -7.68 Mn |
| Jun 30, 2024 | -1.75 Mn |
| Mar 31, 2024 | -1.93 Mn |
Context Therapeutics Other 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=other-operating-expenses&ticker=CNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "CNTX", "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-operating-expenses&ticker=CNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();