HUTCHMED (China) (HCM) Non-Current Assets (2015 - 2026)
HUTCHMED (China)'s Non-Current Assets came in at $183.02 million for the quarter ended Jun 30, 2026, up 178.9% from $65.63 million a year earlier.
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Analysis
HUTCHMED (China) (HCM) Non-Current Assets (2015 - 2026) Analysis & Trends
As of Dec 31, 2025, HUTCHMED (China)'s Non-Current Assets was $66.11 million, down 2.1% from the prior year.
- Non-Current Assets has declined in each of the last five years, with a five-year compound annual growth rate of -7.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Non-Current Assets was $67.56 million in the year ended Dec 31, 2024 (-8.6%), $73.94 million in the year ended Dec 31, 2023 (-7.6%), $80.06 million in the year ended Dec 31, 2022 (-12.6%) and $91.61 million in the year ended Dec 31, 2021 (-4.3%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Non-Current Assets since the quarter ended Jun 30, 2023.
- Year-over-year, Non-Current Assets increased in 1 of the last four quarters, with growth averaging 40.7%.
- The fastest year-over-year change in Non-Current Assets over five years came in the quarter ended Jun 30, 2026 (growth of 178.9%), and the weakest in the quarter ended Jun 30, 2024 (a decline of 66.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | HUTCHMED (China) | 2.47 Bn | 2.48 Bn | - | 183.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183.02 Mn |
| Dec 31, 2025 | 66.11 Mn |
| Jun 30, 2025 | 65.63 Mn |
| Dec 31, 2024 | 67.56 Mn |
| Jun 30, 2024 | 69.31 Mn |
| Dec 31, 2023 | 73.94 Mn |
| Jun 30, 2023 | 207.01 Mn |
| Dec 31, 2022 | 80.06 Mn |
| Jun 30, 2022 | 84.97 Mn |
| Dec 31, 2021 | 91.61 Mn |
| Jun 30, 2021 | 93.36 Mn |
| Mar 31, 2021 | 196.89 Mn |
| Dec 31, 2020 | 95.73 Mn |
| Jun 30, 2020 | 150.84 Mn |
| Dec 31, 2019 | 95.10 Mn |
| Sep 30, 2019 | 177.01 Mn |
| Jun 30, 2019 | 185.72 Mn |
| Mar 31, 2019 | 189.30 Mn |
| Dec 31, 2018 | 161.58 Mn |
| Jun 30, 2018 | 183.27 Mn |
API Access
HUTCHMED (China) Non-Current Assets 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=non-current-assets&ticker=HCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=HCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();