Eli Lilly (LLY) Return on Capital Employed [ROCE] (2010 - 2026)
Eli Lilly (LLY) posted Return on Capital Employed [ROCE] of 46.74% for Q2 2026, up 7.58 percentage points from 39.15% a year earlier and up 3.80 percentage points from the prior quarter.
Eli Lilly (LLY) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Eli Lilly's Return on Capital Employed [ROCE] came in at 48.39%, up 10.75 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for five consecutive years, with a five-year change of +25.99 percentage points (FY2020 to FY2025).
- In prior years, Eli Lilly's Return on Capital Employed [ROCE] was 37.64% in FY2024 (+2.82 pp), 34.82% in FY2023 (+9.72 pp), 25.10% in FY2022 (+2.67 pp) and 22.43% in FY2021 (+0.03 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2010.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last 12 quarters, with an average year-over-year change of +6.32 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 10.02 percentage points; the weakest was Q2 2023, with a drop of 5.75 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 42.94% (Q1 2026), 37.22% (Q4 2025) and 37.83% (Q3 2025).
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 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 20.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.74% |
| Mar 31, 2026 | 42.94% |
| Dec 31, 2025 | 37.22% |
| Sep 30, 2025 | 37.83% |
| Jun 30, 2025 | 39.15% |
| Mar 31, 2025 | 34.87% |
| Dec 31, 2024 | 33.16% |
| Sep 30, 2024 | 28.23% |
| Jun 30, 2024 | 31.69% |
| Mar 31, 2024 | 24.85% |
| Dec 31, 2023 | 30.47% |
| Sep 30, 2023 | 27.13% |
| Jun 30, 2023 | 21.77% |
| Mar 31, 2023 | 20.00% |
| Dec 31, 2022 | 25.64% |
| Sep 30, 2022 | 26.30% |
| Jun 30, 2022 | 27.52% |
| Mar 31, 2022 | 24.45% |
| Dec 31, 2021 | 21.91% |
| Sep 30, 2021 | 21.68% |
Eli Lilly 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=LLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LLY", "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=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();