Lineage Cell Therapeutics (LCTX) Operating Expenses (2010 - 2026)
Lineage Cell Therapeutics' Operating Expenses was $9.99 million in Q2 2026, down 55.7% from $22.55 million a year earlier but up 7.2% from the prior quarter.
Lineage Cell Therapeutics (LCTX) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lineage Cell Therapeutics' Operating Expenses was $39.93 million through Jun 30, 2026, down 13.5% year-over-year; for FY2025, it was $51.18 million, up 65.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $30.98 million in FY2024 (-8.0%), $33.68 million in FY2023 (-7.7%), $36.5 million in FY2022 (-30.0%) and $52.13 million in FY2021 (+86.9%).
- Quarterly Operating Expenses has moved between $7.28 million (Q2 2024) and $29.2 million (Q4 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 28.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 376.9%); the worst was Q4 2022 (a decline of 71.1%).
- Per Business Quant data, LCTX's Operating Expenses in the three quarters before Q2 2026 was $9.32 million (Q1 2026), $13.16 million (Q4 2025) and $7.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,148.60 Bn | 1,117.19 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 637.24 Bn | 557.10 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 502.40 Bn | 475.51 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 356.72 Bn | 311.10 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 301.65 Bn | 265.64 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 265.03 Bn | 238.72 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 239.14 Bn | 194.54 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.82 Bn | 169.02 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.31 Bn | 118.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Lineage Cell Therapeutics | 240.29 Mn | 39.82 Mn | - | 9.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.99 Mn |
| Mar 31, 2026 | 9.32 Mn |
| Dec 31, 2025 | 13.16 Mn |
| Sep 30, 2025 | 7.47 Mn |
| Jun 30, 2025 | 22.55 Mn |
| Mar 31, 2025 | 8.01 Mn |
| Dec 31, 2024 | 7.98 Mn |
| Sep 30, 2024 | 7.62 Mn |
| Jun 30, 2024 | 7.28 Mn |
| Mar 31, 2024 | 8.11 Mn |
| Dec 31, 2023 | 8.19 Mn |
| Sep 30, 2023 | 7.95 Mn |
| Jun 30, 2023 | 8.25 Mn |
| Mar 31, 2023 | 9.03 Mn |
| Dec 31, 2022 | 8.45 Mn |
| Sep 30, 2022 | 8.01 Mn |
| Jun 30, 2022 | 8.57 Mn |
| Mar 31, 2022 | 11.46 Mn |
| Dec 31, 2021 | 29.20 Mn |
| Sep 30, 2021 | 8.13 Mn |
Lineage Cell Therapeutics Operating Expenses 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=operating-expenses&ticker=LCTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LCTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();