Lineage Cell Therapeutics (LCTX) Return on Sales [ROS] (2010 - 2026)
Lineage Cell Therapeutics (LCTX) reported Return on Sales [ROS] of -834.71% for Q2 2026, down 119.33 percentage points from -715.37% a year earlier and down 394.53 percentage points from the prior quarter.
Lineage Cell Therapeutics (LCTX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lineage Cell Therapeutics' Return on Sales [ROS] came in at -205.23%, up 117.61 percentage points year-over-year; for FY2025, it was -251.57%, down 25.47 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +1196.78 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -226.11% in FY2024 (+50.39 pp), -276.50% in FY2023 (-123.33 pp), -153.17% in FY2022 (+980.47 pp) and -1133.63% in FY2021 (+314.72 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2021.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +30.50 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 2070.95 percentage points); the low point was Q4 2021 (a drop of 760.74 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -440.17% (Q1 2026), -99.09% (Q4 2025) and -102.85% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,126.20 Bn | 1,094.78 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 633.36 Bn | 553.22 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.51 Bn | 477.62 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 357.58 Bn | 311.96 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 289.65 Bn | 253.64 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 264.97 Bn | 238.66 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.69 Bn | 193.09 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.48 Bn | 168.68 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 28.37% |
| 10 | Lineage Cell Therapeutics | 250.75 Mn | 50.27 Mn | - | -834.71% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -834.71% |
| Mar 31, 2026 | -440.17% |
| Dec 31, 2025 | -99.09% |
| Sep 30, 2025 | -102.85% |
| Jun 30, 2025 | -715.37% |
| Mar 31, 2025 | -433.09% |
| Dec 31, 2024 | -178.17% |
| Sep 30, 2024 | -101.61% |
| Jun 30, 2024 | -416.69% |
| Mar 31, 2024 | -461.29% |
| Dec 31, 2023 | -304.69% |
| Sep 30, 2023 | -538.12% |
| Jun 30, 2023 | -155.78% |
| Mar 31, 2023 | -278.37% |
| Dec 31, 2022 | -346.68% |
| Sep 30, 2022 | -175.15% |
| Jun 30, 2022 | -92.99% |
| Mar 31, 2022 | -122.13% |
| Dec 31, 2021 | -2,417.64% |
| Sep 30, 2021 | -301.45% |
Lineage Cell Therapeutics 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=LCTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LCTX", "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=LCTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();