Legend Biotech (LEGN) Total Non-Current Liabilities (2019 - 2026)
Legend Biotech's Total Non-Current Liabilities was $117.7 million in Q2 2026, down 69.7% from $388.89 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Legend Biotech (LEGN) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Legend Biotech came in at $95.2 million, down 72.9% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 61.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $351.9 million in FY2024 (-7.6%), $380.82 million in FY2023 (+31.8%), $288.86 million in FY2022 (+132.4%) and $124.32 million in FY2021.
- Quarterly Total Non-Current Liabilities has moved between $95.2 million (Q4 2025) and $388.89 million (Q2 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for four straight quarters, with an average decline of 27.4% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 132.4%); the worst was Q4 2025 (a decline of 72.9%).
- Per Business Quant data, LEGN's Total Non-Current Liabilities in the three quarters before Q2 2026 was $119.9 million (Q1 2026), $95.2 million (Q4 2025) and $268.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,155.80 Bn | 1,124.39 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 630.65 Bn | 549.18 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 502.74 Bn | 475.85 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 375.34 Bn | 329.72 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 301.36 Bn | 265.35 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 265.02 Bn | 238.70 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 239.16 Bn | 194.55 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 192.63 Bn | 166.82 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.82 Bn | 118.47 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Legend Biotech | 3.43 Bn | 926.43 Mn | 251.50 Mn | 117.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.70 Mn |
| Mar 31, 2026 | 119.90 Mn |
| Dec 31, 2025 | 95.20 Mn |
| Sep 30, 2025 | 268.12 Mn |
| Jun 30, 2025 | 388.89 Mn |
| Mar 31, 2025 | 363.53 Mn |
| Dec 31, 2024 | 351.96 Mn |
| Sep 30, 2024 | 348.82 Mn |
| Jun 30, 2024 | 344.88 Mn |
| Mar 31, 2024 | 361.37 Mn |
| Dec 31, 2023 | 380.82 Mn |
| Sep 30, 2023 | 324.48 Mn |
| Jun 30, 2023 | 322.25 Mn |
| Mar 31, 2023 | 318.02 Mn |
| Dec 31, 2022 | 288.86 Mn |
| Mar 31, 2022 | 376.42 Mn |
| Dec 31, 2021 | 124.32 Mn |
| Sep 30, 2021 | 312.53 Mn |
| Jun 30, 2021 | 274.11 Mn |
| Mar 31, 2021 | 262.86 Mn |
API Access
Legend Biotech Total Non-Current 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-non-current-liabilities&ticker=LEGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=LEGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();