Abivax (ABVX) Return on Capital Employed [ROCE] (2025 - 2026)
Abivax's Return on Capital Employed [ROCE] came in at -60.84% for Q2 2026, up 161.16 percentage points from -222.00% a year earlier but down 14.49 percentage points from the prior quarter.
Abivax (ABVX) Return on Capital Employed [ROCE] (2025 - 2026) Analysis & Trends
For FY2025, Abivax's Return on Capital Employed [ROCE] was -65.89%, down 0.74 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a three-year change of +70.23 percentage points (FY2022 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -65.15% in FY2024 and -136.12% in FY2022.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -222.00% (Q2 2025) to -39.92% (Q4 2025).
- Business Quant data shows ABVX's Return on Capital Employed [ROCE] at -46.35% (Q1 2026), -39.92% (Q4 2025) and -87.57% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 11.86% |
| 10 | Abivax | 6.26 Bn | 3.90 Bn | - | -68.88% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -68.88% |
| Mar 31, 2026 | -46.58% |
| Dec 31, 2025 | -42.97% |
| Sep 30, 2025 | -105.88% |
| Jun 30, 2025 | -1,190.51% |
| Mar 31, 2025 | -396.21% |
Abivax 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=ABVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ABVX", "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=ABVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();