Lexicon Pharmaceuticals (LXRX) Return on Assets [ROA] (2009 - 2026)
Lexicon Pharmaceuticals (LXRX) posted Return on Assets [ROA] of -21.01% for Q2 2026, up 24.24 percentage points from -45.24% a year earlier but down 10.33 percentage points from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025, Lexicon Pharmaceuticals' Return on Assets [ROA] came in at -20.24%, up 54.45 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -1.39 percentage points (FY2020 to FY2025).
- In prior years, Lexicon Pharmaceuticals' Return on Assets [ROA] was -74.69% in FY2024 (+6.38 pp), -81.07% in FY2023 (-18.54 pp), -62.52% in FY2022 (-11.01 pp) and -51.52% in FY2021 (-32.67 pp).
- Quarterly Return on Assets [ROA] has run from a low of -78.03% in Q2 2022 to a high of -10.68% in Q1 2026 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last five quarters, with an average year-over-year change of +18.59 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q1 2026, with a gain of 48.87 percentage points; the weakest was Q2 2022, with a drop of 98.85 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -10.68% (Q1 2026), -25.02% (Q4 2025) and -30.99% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 19.00% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 8.08% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 7.32% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.87% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.36% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 9.80% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -7.67% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 2.00% |
| 10 | Lexicon Pharmaceuticals | 831.26 Mn | 190.55 Mn | 11.17 Mn | -25.48% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -25.48% |
| Jun 30, 2026 | -23.63% |
| Mar 31, 2026 | -11.57% |
| Dec 31, 2025 | -25.80% |
| Sep 30, 2025 | -31.93% |
| Jun 30, 2025 | -46.04% |
| Mar 31, 2025 | -59.46% |
| Dec 31, 2024 | -64.67% |
| Sep 30, 2024 | -62.19% |
| Jun 30, 2024 | -51.15% |
| Mar 31, 2024 | -59.84% |
| Dec 31, 2023 | -69.84% |
| Sep 30, 2023 | -53.09% |
| Jun 30, 2023 | -54.51% |
| Mar 31, 2023 | -61.92% |
| Dec 31, 2022 | -53.04% |
| Sep 30, 2022 | -57,742.70% |
| Jun 30, 2022 | -70,639.94% |
| Mar 31, 2022 | -64,275.89% |
| Dec 31, 2021 | -56,759.98% |
Lexicon Pharmaceuticals Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=LXRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();