Lexicon Pharmaceuticals (LXRX) Return on Sales [ROS] (2010 - 2026)
Lexicon Pharmaceuticals' Return on Sales [ROS] was -3835.26% in Q2 2026, down 3848.20 percentage points from 12.94% a year earlier and down 3830.54 percentage points from the prior quarter.
Lexicon Pharmaceuticals (LXRX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lexicon Pharmaceuticals' Return on Sales [ROS] was -131.43% through Jun 30, 2026, up 71.15 percentage points year-over-year; for FY2025, it came in at -98.21%, up 536.00 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +101.00 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -634.20% in FY2024 (+13630.75 pp), -14264.95% in FY2023 (+58224.26 pp), -72489.21% in FY2022 (-43264.38 pp) and -29224.83% in FY2021 (-29025.62 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q1 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +5058.97 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 125746.56 percentage points); the worst was Q4 2021 (a drop of 177180.83 percentage points).
- Per Business Quant data, LXRX's Return on Sales [ROS] in the three quarters before Q2 2026 was -4.72% (Q1 2026), -269.07% (Q4 2025) and -85.93% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Lexicon Pharmaceuticals | 813.30 Mn | 239.86 Mn | 653,000.00 | -3,835.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,835.26% |
| Mar 31, 2026 | -4.72% |
| Dec 31, 2025 | -269.07% |
| Sep 30, 2025 | -85.93% |
| Jun 30, 2025 | 12.94% |
| Mar 31, 2025 | -2,034.79% |
| Dec 31, 2024 | -123.28% |
| Sep 30, 2024 | -3,639.60% |
| Jun 30, 2024 | -3,360.90% |
| Mar 31, 2024 | -4,011.77% |
| Dec 31, 2023 | -6,657.69% |
| Sep 30, 2023 | -30,636.42% |
| Jun 30, 2023 | -13,955.84% |
| Mar 31, 2023 | -129,758.33% |
| Dec 31, 2022 | -108,135.71% |
| Sep 30, 2022 | -59,217.95% |
| Jun 30, 2022 | -68,591.43% |
| Dec 31, 2021 | -180,928.57% |
| Sep 30, 2021 | -99,834.78% |
| Jun 30, 2021 | -7,674.79% |
Lexicon Pharmaceuticals Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=LXRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();