Context Therapeutics (CNTX) Capital Expenditures (2022 - 2026)
Context Therapeutics' Capital Expenditures was $18,488 in Q2 2026, down 50.4% from the prior quarter.
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Analysis
Context Therapeutics (CNTX) Capital Expenditures (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Context Therapeutics' Capital Expenditures was $55,746 through Jun 30, 2026, up 35.1% year-over-year; for FY2025, it came in at $33,948, up 364.0% from FY2024.
- Capital Expenditures shows a three-year compound annual growth rate of -2.7% (FY2022 to FY2025).
- In earlier years, Capital Expenditures was $7,316 in FY2024 and $36,836 in FY2022.
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 1.36 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Context Therapeutics | 21.97 Mn | -218.49 Mn | - | 18,488.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18,488.00 |
| Mar 31, 2026 | 37,258.00 |
| Mar 31, 2025 | 33,948.00 |
| Sep 30, 2024 | 7,316.00 |
| Jun 30, 2022 | 1,837.00 |
| Mar 31, 2022 | 34,999.00 |
API Access
Context Therapeutics Capital Expenditures 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=capital-expenditures&ticker=CNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();