Context Therapeutics (CNTX) Return on Capital Employed [ROCE] (2021 - 2026)
Context Therapeutics (CNTX) posted Return on Capital Employed [ROCE] of -109.22% for Q2 2026, down 64.43 percentage points from -44.79% a year earlier and down 33.07 percentage points from the prior quarter.
Context Therapeutics (CNTX) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Context Therapeutics' Return on Capital Employed [ROCE] came in at -52.73%, up 2.33 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a four-year change of -6.67 percentage points (FY2021 to FY2025).
- In prior years, Context Therapeutics' Return on Capital Employed [ROCE] was -55.06% in FY2024 (+54.80 pp), -109.86% in FY2023 (-72.73 pp), -37.13% in FY2022 (+8.93 pp) and -46.06% in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last five quarters, with an average year-over-year change of +27.99 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2025, with a gain of 169.26 percentage points; the weakest was Q1 2024, with a drop of 144.40 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -76.16% (Q1 2026), -60.30% (Q4 2025) and -39.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 11.86% |
| 10 | Context Therapeutics | 22.05 Mn | -218.41 Mn | - | -109.22% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -109.22% |
| Mar 31, 2026 | -76.16% |
| Dec 31, 2025 | -60.30% |
| Sep 30, 2025 | -39.15% |
| Jun 30, 2025 | -44.79% |
| Mar 31, 2025 | -33.78% |
| Dec 31, 2024 | -33.44% |
| Sep 30, 2024 | -35.30% |
| Jun 30, 2024 | -36.23% |
| Mar 31, 2024 | -203.03% |
| Dec 31, 2023 | -163.51% |
| Sep 30, 2023 | -106.02% |
| Jun 30, 2023 | -76.18% |
| Mar 31, 2023 | -58.63% |
| Dec 31, 2022 | -41.78% |
| Sep 30, 2022 | -37.05% |
| Jun 30, 2022 | -28.28% |
| Mar 31, 2022 | -27.60% |
| Dec 31, 2021 | -44.32% |
Context Therapeutics Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();