Context Therapeutics (CNTX) Cash & Equivalents (2020 - 2026)
Context Therapeutics' Cash & Equivalents was $43 million in Q2 2026, down 48.5% from $83.52 million a year earlier and down 21.1% from the prior quarter.
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Analysis
Context Therapeutics (CNTX) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Context Therapeutics came in at $66 million, down 30.1% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 186.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $94.43 million in FY2024 (+553.5%), $14.45 million in FY2023 (-59.3%), $35.5 million in FY2022 (-28.6%) and $49.69 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q1 2024.
- Compared with a year earlier, Cash & Equivalents has declined for five straight quarters, with growth averaging 185.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2025 (growth of 785.1%); the worst was Q1 2024 (a decline of 66.1%).
- Per Business Quant data, CNTX's Cash & Equivalents in the three quarters before Q2 2026 was $54.53 million (Q1 2026), $66 million (Q4 2025) and $76.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Context Therapeutics | 21.97 Mn | -218.49 Mn | - | 43.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.00 Mn |
| Mar 31, 2026 | 54.53 Mn |
| Dec 31, 2025 | 66.00 Mn |
| Sep 30, 2025 | 76.94 Mn |
| Jun 30, 2025 | 83.52 Mn |
| Mar 31, 2025 | 89.40 Mn |
| Dec 31, 2024 | 94.43 Mn |
| Sep 30, 2024 | 84.80 Mn |
| Jun 30, 2024 | 101.54 Mn |
| Mar 31, 2024 | 10.10 Mn |
| Dec 31, 2023 | 14.45 Mn |
| Sep 30, 2023 | 21.70 Mn |
| Jun 30, 2023 | 25.14 Mn |
| Mar 31, 2023 | 29.80 Mn |
| Dec 31, 2022 | 35.50 Mn |
| Sep 30, 2022 | 39.43 Mn |
| Jun 30, 2022 | 42.92 Mn |
| Mar 31, 2022 | 45.73 Mn |
| Dec 31, 2021 | 49.69 Mn |
| Sep 30, 2021 | 419,152.00 |
API Access
Context Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=CNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();