Connect Biopharma Holdings (CNTB) Return on Sales [ROS] (2024 - 2026)
Connect Biopharma Holdings (CNTB) posted Return on Sales [ROS] of -635.98% for Q2 2026, up 27330.68 percentage points from -27966.67% a year earlier and up 10965.79 percentage points from the prior quarter.
Connect Biopharma Holdings (CNTB) Return on Sales [ROS] (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Connect Biopharma Holdings was -2384.49%, up 75.36 percentage points year-over-year; for FY2025, it came in at -90740.63%, down 90654.38 percentage points from FY2024.
- In prior years, Connect Biopharma Holdings' Return on Sales [ROS] was -86.24% in FY2024.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -11601.78% (Q1 2026), -90740.63% (Q4 2025) and -110481.25% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 28.37% |
| 10 | Connect Biopharma Holdings | 47.86 Mn | -128.81 Mn | - | -635.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -635.98% |
| Mar 31, 2026 | -11,601.78% |
| Dec 31, 2025 | -90,740.63% |
| Sep 30, 2025 | -110,481.25% |
| Jun 30, 2025 | -27,966.67% |
| Dec 31, 2024 | -1,378.08% |
| Sep 30, 2024 | -1,135.85% |
Connect Biopharma Holdings Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=CNTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=CNTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();