Lexicon Pharmaceuticals (LXRX) Return on Capital Employed [ROCE] (2009 - 2026)
Lexicon Pharmaceuticals (LXRX) recorded Return on Capital Employed [ROCE] of -22.27% in Q2 2026, up 29.92 percentage points from -52.19% a year earlier but down 11.11 percentage points from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Lexicon Pharmaceuticals reported Return on Capital Employed [ROCE] of -22.15%, up 67.99 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -4.04 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -90.14% in FY2024 (+5.11 pp), -95.25% in FY2023 (-24.51 pp), -70.74% in FY2022 (-11.99 pp) and -58.76% in FY2021 (-40.65 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -94.72% in Q1 2025 to -11.16% in Q1 2026 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for five consecutive quarters, with an average year-over-year change of +19.50 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 83.56 percentage points in Q1 2026, against a drop of 116.10 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -11.16% (Q1 2026), -28.01% (Q4 2025) and -34.46% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | Lexicon Pharmaceuticals | 831.26 Mn | 190.55 Mn | 11.17 Mn | -24.89% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -24.89% |
| Jun 30, 2026 | -22.27% |
| Mar 31, 2026 | -11.16% |
| Dec 31, 2025 | -28.01% |
| Sep 30, 2025 | -34.46% |
| Jun 30, 2025 | -52.19% |
| Mar 31, 2025 | -94.72% |
| Dec 31, 2024 | -74.52% |
| Sep 30, 2024 | -67.84% |
| Jun 30, 2024 | -53.63% |
| Mar 31, 2024 | -62.00% |
| Dec 31, 2023 | -77.57% |
| Sep 30, 2023 | -58.75% |
| Jun 30, 2023 | -60.28% |
| Mar 31, 2023 | -68.63% |
| Dec 31, 2022 | -59.33% |
| Sep 30, 2022 | -71.74% |
| Jun 30, 2022 | -89.10% |
| Mar 31, 2022 | -76.19% |
| Dec 31, 2021 | -65.73% |
Lexicon Pharmaceuticals 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=LXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LXRX", "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=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();