Lineage Cell Therapeutics (LCTX) Total Liabilities (2010 - 2026)
Lineage Cell Therapeutics' Total Liabilities came in at $45.3 million for Q2 2026, up 3.7% from $43.69 million a year earlier but down 20.3% from the prior quarter.
Lineage Cell Therapeutics (LCTX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lineage Cell Therapeutics' Total Liabilities was $68.04 million, up 87.9% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 39.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $36.21 million in FY2024 (-7.2%), $39 million in FY2023 (-24.6%), $51.73 million in FY2022 (-38.2%) and $83.65 million in FY2021 (+552.4%).
- The five-year range for quarterly Total Liabilities is $11.62 million (Q3 2021) to $83.65 million (Q4 2021).
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 32.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 552.4%), and the weakest in Q4 2022 (a decline of 38.2%).
- Business Quant data shows LCTX's Total Liabilities at $56.84 million (Q1 2026), $68.04 million (Q4 2025) and $67.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Lineage Cell Therapeutics | 247.85 Mn | 46.25 Mn | - | 45.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.30 Mn |
| Mar 31, 2026 | 56.84 Mn |
| Dec 31, 2025 | 68.04 Mn |
| Sep 30, 2025 | 67.60 Mn |
| Jun 30, 2025 | 43.69 Mn |
| Mar 31, 2025 | 34.10 Mn |
| Dec 31, 2024 | 36.21 Mn |
| Sep 30, 2024 | 31.80 Mn |
| Jun 30, 2024 | 35.93 Mn |
| Mar 31, 2024 | 37.49 Mn |
| Dec 31, 2023 | 39.00 Mn |
| Sep 30, 2023 | 39.49 Mn |
| Jun 30, 2023 | 40.43 Mn |
| Mar 31, 2023 | 44.19 Mn |
| Dec 31, 2022 | 51.73 Mn |
| Sep 30, 2022 | 53.60 Mn |
| Jun 30, 2022 | 54.42 Mn |
| Mar 31, 2022 | 59.30 Mn |
| Dec 31, 2021 | 83.65 Mn |
| Sep 30, 2021 | 11.62 Mn |
Lineage Cell Therapeutics Total Liabilities 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=total-liabilities&ticker=LCTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LCTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();