HUTCHMED (China) (HCM) Interest Expenses (2015 - 2020)
HUTCHMED (China) (HCM) recorded Interest Expenses of -$2.87 million in the year ended Dec 31, 2025, compared with -$2.87 million a year earlier.
HUTCHMED (China) (HCM) Interest Expenses (2015 - 2020) Analysis & Trends
Starting with the year ended Dec 31, 2013, HUTCHMED (China)'s Interest Expenses history includes 13 years.
- Annual Interest Expenses has ranged from -$2.87 million in the year ended Dec 31, 2024 to -$592,000 in the year ended Dec 31, 2021 over the past five years.
- Per Business Quant data, HCM's Interest Expenses was -$2.87 million in the year ended Dec 31, 2024, -$759,000 in the year ended Dec 31, 2023, -$652,000 in the year ended Dec 31, 2022 and -$592,000 in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | HUTCHMED (China) | 2.49 Bn | -2.46 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 514,000.00 |
| Mar 31, 2020 | -3,000.00 |
| Dec 31, 2019 | 259,000.00 |
| Sep 30, 2019 | 83,000.00 |
| Jun 30, 2019 | 428,000.00 |
| Mar 31, 2019 | 260,000.00 |
| Dec 31, 2018 | 281,000.00 |
| Sep 30, 2018 | 284,000.00 |
| Jun 30, 2018 | 238,000.00 |
| Mar 31, 2018 | 206,000.00 |
| Jun 30, 2015 | 95,000.00 |
HUTCHMED (China) Interest 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=interest-expenses&ticker=HCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=HCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();