Adlai Nortye (ANL) Other Accumulated Expenses (2022 - 2026)
Adlai Nortye's Other Accumulated Expenses came in at $2.22 million for Q2 2026, down 54.4% from $4.88 million a year earlier.
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Analysis
Adlai Nortye (ANL) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Adlai Nortye's Other Accumulated Expenses was $3.74 million, up 9.6% from FY2024.
- Other Accumulated Expenses carries a three-year compound annual growth rate of -1.2% (FY2022 to FY2025).
- Going back by year, Other Accumulated Expenses was $3.41 million in FY2024 (-19.6%), $4.25 million in FY2023 (+9.5%) and $3.88 million in FY2022.
- Year-over-year, Other Accumulated Expenses increased in two of the last four quarters, with an average decline of 8.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Adlai Nortye | 518.14 Mn | 418.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.22 Mn |
| Dec 31, 2025 | 3.74 Mn |
| Jun 30, 2025 | 4.88 Mn |
| Dec 31, 2024 | 3.41 Mn |
| Jun 30, 2024 | 3.79 Mn |
| Dec 31, 2023 | 4.25 Mn |
| Dec 31, 2022 | 3.88 Mn |
API Access
Adlai Nortye Other Accumulated 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=other-accumulated-expenses&ticker=ANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();