HUTCHMED (China) (HCM) Total Non-Current Liabilities (2015 - 2026)
HUTCHMED (China) (HCM) posted Total Non-Current Liabilities of $473.68 million for the quarter ended Jun 30, 2026, compared with $5.89 million a year earlier.
Powered by 
Analysis
HUTCHMED (China) (HCM) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
As of Dec 31, 2025, HUTCHMED (China)'s Total Non-Current Liabilities came in at $4.97 million, up 28.7% from the prior year.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -36.1% (years ended Dec 2020 to Dec 2025).
- In prior years, HUTCHMED (China)'s Total Non-Current Liabilities was $3.86 million in the year ended Dec 31, 2024 (+4.6%), $3.69 million in the year ended Dec 31, 2023 (-25.4%), $4.94 million in the year ended Dec 31, 2022 (-77.0%) and $21.49 million in the year ended Dec 31, 2021 (-54.1%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Total Non-Current Liabilities since the quarter ended Jun 30, 2023.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was the quarter ended Jun 30, 2025, with growth of 46.3%; the weakest was the quarter ended Jun 30, 2024, with a decline of 99.2%.
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 | HUTCHMED (China) | 2.47 Bn | 2.48 Bn | - | 473.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 473.68 Mn |
| Dec 31, 2025 | 4.97 Mn |
| Jun 30, 2025 | 5.89 Mn |
| Dec 31, 2024 | 3.86 Mn |
| Jun 30, 2024 | 4.03 Mn |
| Dec 31, 2023 | 3.69 Mn |
| Jun 30, 2023 | 478.19 Mn |
| Dec 31, 2022 | 4.94 Mn |
| Jun 30, 2022 | 6.03 Mn |
| Dec 31, 2021 | 21.49 Mn |
| Jun 30, 2021 | 28.67 Mn |
| Mar 31, 2021 | 221.92 Mn |
| Dec 31, 2020 | 46.77 Mn |
| Jun 30, 2020 | 149.50 Mn |
| Dec 31, 2019 | 48.69 Mn |
| Sep 30, 2019 | 133.12 Mn |
| Jun 30, 2019 | 462.73 Mn |
| Mar 31, 2019 | 155.20 Mn |
| Dec 31, 2018 | 579,000.00 |
| Jun 30, 2018 | 117.25 Mn |
API Access
HUTCHMED (China) 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=HCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "HCM", "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=HCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();