Legend Biotech (LEGN) Total Liabilities (2019 - 2026)
Legend Biotech (LEGN) recorded Total Liabilities of $521.3 million in Q2 2026, down 20.4% from $654.51 million a year earlier and down 17.1% from the prior quarter.
Legend Biotech (LEGN) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Legend Biotech reported Total Liabilities of $731.6 million, up 16.2% from FY2024.
- Annual Total Liabilities has increased for five straight years, with a five-year compound annual growth rate of 42.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $629.6 million in FY2024 (+5.4%), $597.24 million in FY2023 (+1.8%), $586.65 million in FY2022 (+65.9%) and $353.52 million in FY2021 (+184.4%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q3 2023.
- On a year-over-year basis, Total Liabilities rose in six of the last eight quarters, with growth averaging 5.5%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 184.4% in Q4 2021, against a decline of 20.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $629 million (Q1 2026), $731.6 million (Q4 2025) and $701.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Legend Biotech | 3.43 Bn | -308.34 Mn | 251.50 Mn | 521.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 521.30 Mn |
| Mar 31, 2026 | 629.00 Mn |
| Dec 31, 2025 | 731.60 Mn |
| Sep 30, 2025 | 701.69 Mn |
| Jun 30, 2025 | 654.51 Mn |
| Mar 31, 2025 | 597.95 Mn |
| Dec 31, 2024 | 629.60 Mn |
| Sep 30, 2024 | 619.72 Mn |
| Jun 30, 2024 | 639.18 Mn |
| Mar 31, 2024 | 611.05 Mn |
| Dec 31, 2023 | 597.24 Mn |
| Sep 30, 2023 | 499.70 Mn |
| Jun 30, 2023 | 523.63 Mn |
| Mar 31, 2023 | 556.20 Mn |
| Dec 31, 2022 | 586.65 Mn |
| Mar 31, 2022 | 601.95 Mn |
| Dec 31, 2021 | 353.52 Mn |
| Sep 30, 2021 | 587.90 Mn |
| Jun 30, 2021 | 535.21 Mn |
| Mar 31, 2021 | 408.80 Mn |
Legend Biotech 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=LEGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LEGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();