Lyell Immunopharma (LYEL) Return on Capital Employed [ROCE] (2021 - 2026)
Lyell Immunopharma's Return on Capital Employed [ROCE] came in at -88.14% for Q2 2026, up 7.94 percentage points from -96.07% a year earlier but down 5.03 percentage points from the prior quarter.
Lyell Immunopharma (LYEL) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Lyell Immunopharma's Return on Capital Employed [ROCE] was -73.60%, down 10.29 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three years, with a four-year change of -51.48 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -63.31% in FY2024 (-32.79 pp), -30.52% in FY2023 (-11.73 pp), -18.79% in FY2022 (+3.33 pp) and -22.12% in FY2021.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -96.07% (Q2 2025) to -17.90% (Q3 2021).
- Year-over-year, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -27.37 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2026 (a gain of 7.94 percentage points), and the weakest in Q2 2025 (a drop of 60.99 percentage points).
- Business Quant data shows LYEL's Return on Capital Employed [ROCE] at -83.11% (Q1 2026), -83.00% (Q4 2025) and -93.99% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Lyell Immunopharma | 216.66 Mn | 216.66 Mn | - | -88.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -88.14% |
| Mar 31, 2026 | -83.11% |
| Dec 31, 2025 | -83.00% |
| Sep 30, 2025 | -93.99% |
| Jun 30, 2025 | -96.07% |
| Mar 31, 2025 | -86.04% |
| Dec 31, 2024 | -71.57% |
| Sep 30, 2024 | -36.00% |
| Jun 30, 2024 | -35.08% |
| Mar 31, 2024 | -34.80% |
| Dec 31, 2023 | -33.47% |
| Sep 30, 2023 | -25.93% |
| Jun 30, 2023 | -25.46% |
| Mar 31, 2023 | -20.61% |
| Dec 31, 2022 | -20.32% |
| Sep 30, 2022 | -23.18% |
| Jun 30, 2022 | -20.32% |
| Mar 31, 2022 | -21.53% |
| Dec 31, 2021 | -19.24% |
| Sep 30, 2021 | -17.90% |
Lyell Immunopharma 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=LYEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LYEL", "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=LYEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();