Legend Biotech (LEGN) Non-Current Assets (2019 - 2026)
Legend Biotech's Non-Current Assets came in at $523.5 million for Q2 2026, up 19.0% from $440.04 million a year earlier and up 1.8% from the prior quarter.
Legend Biotech (LEGN) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Legend Biotech's Non-Current Assets was $486.6 million, up 26.0% from FY2024.
- Non-Current Assets has increased in each of the last six years, with a five-year compound annual growth rate of 30.6% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $386.3 million in FY2024 (+10.1%), $350.81 million in FY2023 (+51.3%), $231.84 million in FY2022 (+36.7%) and $169.62 million in FY2021 (+32.4%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2019.
- Year-over-year, Non-Current Assets has increased for 11 consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Assets ran from 9.8% in Q1 2025 to 65.3% in Q1 2023.
- Business Quant data shows LEGN's Non-Current Assets at $514 million (Q1 2026), $486.6 million (Q4 2025) and $470.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Legend Biotech | 3.43 Bn | -308.34 Mn | 251.50 Mn | 523.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 523.50 Mn |
| Mar 31, 2026 | 514.00 Mn |
| Dec 31, 2025 | 486.60 Mn |
| Sep 30, 2025 | 470.94 Mn |
| Jun 30, 2025 | 440.04 Mn |
| Mar 31, 2025 | 396.86 Mn |
| Dec 31, 2024 | 386.30 Mn |
| Sep 30, 2024 | 385.79 Mn |
| Jun 30, 2024 | 373.35 Mn |
| Mar 31, 2024 | 361.32 Mn |
| Dec 31, 2023 | 350.81 Mn |
| Sep 30, 2023 | 330.54 Mn |
| Jun 30, 2023 | 317.80 Mn |
| Mar 31, 2023 | 293.96 Mn |
| Dec 31, 2022 | 231.84 Mn |
| Mar 31, 2022 | 177.81 Mn |
| Dec 31, 2021 | 169.62 Mn |
| Sep 30, 2021 | 160.40 Mn |
| Jun 30, 2021 | 154.29 Mn |
| Mar 31, 2021 | 140.18 Mn |
Legend Biotech Non-Current Assets 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=non-current-assets&ticker=LEGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "LEGN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=LEGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();