Lipocine (LPCN) Return on Sales [ROS] (2018 - 2025)
Lipocine (LPCN) posted Return on Sales [ROS] of -2933.51% for Q3 2025, down 2862.84 percentage points from -70.67% a year earlier and down 2547.49 percentage points from the prior quarter.
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Analysis
Lipocine (LPCN) Return on Sales [ROS] (2018 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Return on Sales [ROS] at Lipocine was -145.98%, down 75.30 percentage points year-over-year; for FY2024, it was -10.31%, up 618.66 percentage points from FY2023.
- Annual Return on Sales [ROS] shows a five-year change of +7808.52 percentage points (FY2019 to FY2024).
- In prior years, Lipocine's Return on Sales [ROS] was -628.98% in FY2023 (+1794.90 pp), -2423.88% in FY2022 (-2443.36 pp) and 19.49% in FY2021.
- The Q3 2025 figure stands as the lowest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +3756.23 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2024, with a gain of 21336.45 percentage points; the weakest was Q2 2023, with a drop of 24307.12 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -386.03% (Q2 2025), -2226.82% (Q1 2025) and 44.27% (Q4 2024).
Peer Set
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 | Lipocine | 11.11 Mn | -56.60 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -2,933.51% |
| Jun 30, 2025 | -386.03% |
| Mar 31, 2025 | -2,226.82% |
| Dec 31, 2024 | 44.27% |
| Sep 30, 2024 | -70.67% |
| Jun 30, 2024 | -3,676.18% |
| Mar 31, 2024 | 42.31% |
| Dec 31, 2023 | -605.61% |
| Sep 30, 2023 | -225.60% |
| Jun 30, 2023 | -25,012.62% |
| Mar 31, 2023 | -7,889.86% |
| Dec 31, 2022 | -2,423.88% |
| Sep 30, 2022 | 19.45% |
| Jun 30, 2022 | -705.51% |
| Mar 31, 2022 | 19.38% |
| Dec 31, 2021 | 79.47% |
| Sep 30, 2021 | -6,424.86% |
| Dec 31, 2020 | -10,907.49% |
| Sep 30, 2020 | -10,087.18% |
| Dec 31, 2019 | -7,818.83% |
API Access
Lipocine 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=LPCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LPCN", "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=LPCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();