Adagene (ADAG) Total Non-Current Liabilities (2020 - 2026)
Adagene (ADAG) reported Total Non-Current Liabilities of $42.94 million for the quarter ended Jun 30, 2026.
Analysis
Adagene (ADAG) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Adagene posted Total Non-Current Liabilities of $42.71 million.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -24.5% (years ended Dec 2020 to Dec 2025).
- By year, Total Non-Current Liabilities came in at $69.28 million in the year ended Dec 31, 2022 (+110.8%) and $32.86 million in the year ended Dec 31, 2021 (-81.1%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Total Non-Current Liabilities since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Adagene | 190.13 Mn | 190.13 Mn | - | 42.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.94 Mn |
| Dec 31, 2025 | 42.71 Mn |
| Jun 30, 2023 | 52.48 Mn |
| Dec 31, 2022 | 69.28 Mn |
| Jun 30, 2022 | 65.84 Mn |
| Dec 31, 2021 | 32.86 Mn |
| Jun 30, 2021 | 31.58 Mn |
| Dec 31, 2020 | 173.56 Mn |
API Access
Adagene 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=ADAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ADAG", "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=ADAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();