Eli Lilly (LLY) Return on Capital Employed [ROCE] (2010 - 2026)
Eli Lilly (LLY) posted Return on Capital Employed [ROCE] of 43.74% for Q3 2026, up 5.91 percentage points from 37.83% a year earlier but down 2.99 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 eight 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).
- Quarterly Return on Capital Employed [ROCE] has run from a low of 20.00% in Q1 2023 to a high of 46.74% in Q2 2026 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last 13 quarters, with an average year-over-year change of +6.93 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 46.74% (Q2 2026), 42.94% (Q1 2026) and 37.22% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 43.74% |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 5.33% |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 11.32% |
| 10 | Vertex Pharmaceuticals | 138.73 Bn | 110.72 Bn | 2.91 Bn | 17.16% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.74% |
| 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% |
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();