Adlai Nortye (ANL) Total Non-Current Liabilities (2022 - 2026)
Adlai Nortye (ANL) reported Total Non-Current Liabilities of $8.31 million for Q2 2026, compared with $257,000 a year earlier.
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Analysis
Adlai Nortye (ANL) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Adlai Nortye posted Total Non-Current Liabilities of $1.13 million, up 165.2% from FY2024.
- Total Non-Current Liabilities has a three-year compound annual growth rate of -3.0% (FY2022 to FY2025).
- By year, Total Non-Current Liabilities came in at $425,000 in FY2024 (-92.2%), $5.47 million in FY2023 (+342.5%) and $1.24 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.02 Bn | 1,100.60 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 613.16 Bn | 531.69 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.74 Bn | 476.85 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.66 Bn | 261.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.30 Bn | 234.99 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.04 Bn | 191.44 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.96 Bn | 165.16 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 169.89 Bn | 116.53 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Adlai Nortye | 354.92 Mn | 9.93 Mn | - | 8.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.31 Mn |
| Dec 31, 2025 | 1.13 Mn |
| Jun 30, 2025 | 257,000.00 |
| Dec 31, 2024 | 425,000.00 |
| Dec 31, 2023 | 5.47 Mn |
| Dec 31, 2022 | 1.24 Mn |
API Access
Adlai Nortye 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=ANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ANL", "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=ANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();