HUTCHMED (China) (HCM) Debt Ratio (2015 - 2026)
HUTCHMED (China)'s (HCM) Debt Ratio was 0.05 for the quarter ended Jun 30, 2026, up 3.4% from 0.05 a year earlier.
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Analysis
HUTCHMED (China) (HCM) Debt Ratio (2015 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Debt Ratio at HUTCHMED (China) was 0.11.
- By year, Debt Ratio came in at 0.04 in the year ended Dec 31, 2022 (+79.4%) and 0.02 in the year ended Dec 31, 2021 (-47.2%).
- Five-year quarterly Debt Ratio spans a low of 0.00 in the quarter ended Jun 30, 2022 and a high of 0.11 in the quarter ended Dec 31, 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 0.39 |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 0.24 |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 0.52 |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 0.42 |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 0.08 |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 0.28 |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 0.60 |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 0.53 |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 0.31 |
| 10 | HUTCHMED (China) | 2.53 Bn | -2.41 Bn | - | 0.05 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.05 |
| Dec 31, 2025 | 0.11 |
| Jun 30, 2025 | 0.05 |
| Dec 31, 2024 | 0.13 |
| Jun 30, 2024 | 0.07 |
| Dec 31, 2023 | 0.12 |
| Jun 30, 2023 | 0.03 |
| Dec 31, 2022 | 0.02 |
| Jun 30, 2022 | 0.00 |
| Dec 31, 2021 | 0.02 |
| Jun 30, 2021 | 0.02 |
| Mar 31, 2021 | 0.04 |
| Dec 31, 2020 | 0.04 |
| Jun 30, 2020 | 0.05 |
| Dec 31, 2019 | 0.06 |
| Mar 31, 2019 | 0.05 |
| Dec 31, 2018 | 0.05 |
| Jun 30, 2018 | 0.05 |
| Dec 31, 2017 | 0.05 |
| Jun 30, 2017 | 0.14 |
API Access
HUTCHMED (China) Debt Ratio 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=debt-ratio&ticker=HCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=HCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();