Context Therapeutics (CNTX) Research & Development (2020 - 2026)
Context Therapeutics (CNTX) recorded Research & Development of $12.53 million in Q2 2026, up 60.0% from $7.83 million a year earlier and up 78.6% from the prior quarter.
Context Therapeutics (CNTX) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Context Therapeutics' Research & Development came in at $40.11 million as of Jun 30, 2026, up 30.9% year-over-year; for FY2025, it was $31.86 million, up 40.3% from FY2024.
- Annual Research & Development has increased for five straight years, with a five-year compound annual growth rate of 81.0% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $22.7 million in FY2024 (+27.7%), $17.78 million in FY2023 (+150.8%), $7.09 million in FY2022 (+86.4%) and $3.81 million in FY2021 (+131.8%).
- The Q2 2026 figure is the highest quarterly Research & Development since Q3 2024.
- On a year-over-year basis, Research & Development has increased for three consecutive quarters, with growth averaging 156.0% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 465.6% in Q2 2025, against a decline of 60.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.02 million (Q1 2026), $11.84 million (Q4 2025) and $8.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.06 Bn | 1,102.65 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 616.49 Bn | 535.01 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 501.55 Bn | 474.66 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 367.24 Bn | 321.62 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 297.99 Bn | 261.98 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.48 Bn | 235.17 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.68 Bn | 164.87 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 169.35 Bn | 115.99 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Context Therapeutics | 21.67 Mn | -218.79 Mn | - | 12.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.53 Mn |
| Mar 31, 2026 | 7.02 Mn |
| Dec 31, 2025 | 11.84 Mn |
| Sep 30, 2025 | 8.72 Mn |
| Jun 30, 2025 | 7.83 Mn |
| Mar 31, 2025 | 3.46 Mn |
| Dec 31, 2024 | 2.52 Mn |
| Sep 30, 2024 | 16.83 Mn |
| Jun 30, 2024 | 1.38 Mn |
| Mar 31, 2024 | 1.97 Mn |
| Dec 31, 2023 | 5.30 Mn |
| Sep 30, 2023 | 4.49 Mn |
| Jun 30, 2023 | 3.46 Mn |
| Mar 31, 2023 | 4.53 Mn |
| Dec 31, 2022 | 2.14 Mn |
| Sep 30, 2022 | 2.08 Mn |
| Jun 30, 2022 | 1.52 Mn |
| Mar 31, 2022 | 1.35 Mn |
| Dec 31, 2021 | 1.29 Mn |
| Sep 30, 2021 | 739,598.00 |
Context Therapeutics Research & Development 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=research-and-development&ticker=CNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();