Connect Biopharma Holdings (CNTB) Return on Capital Employed [ROCE] (2025 - 2026)
Connect Biopharma Holdings (CNTB) posted Return on Capital Employed [ROCE] of -198.53% for Q2 2026, down 135.72 percentage points from -62.80% a year earlier and down 37.08 percentage points from the prior quarter.
Connect Biopharma Holdings (CNTB) Return on Capital Employed [ROCE] (2025 - 2026) Analysis & Trends
For FY2025, Connect Biopharma Holdings' Return on Capital Employed [ROCE] came in at -89.25%, down 68.05 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a four-year change of +8.24 percentage points (FY2021 to FY2025).
- In prior years, Connect Biopharma Holdings' Return on Capital Employed [ROCE] was -21.21% in FY2024 (+33.86 pp), -55.07% in FY2023 (-3.53 pp), -51.53% in FY2022 (+45.96 pp) and -97.49% in FY2021.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -161.45% (Q1 2026), -120.72% (Q4 2025) and -82.00% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 11.86% |
| 10 | Connect Biopharma Holdings | 47.05 Mn | -129.63 Mn | - | -198.53% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -198.53% |
| Mar 31, 2026 | -161.45% |
| Dec 31, 2025 | -120.72% |
| Sep 30, 2025 | -82.00% |
| Jun 30, 2025 | -62.80% |
| Mar 31, 2025 | -24.05% |
Connect Biopharma Holdings 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=CNTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CNTB", "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=CNTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();