HUTCHMED (China) (HCM) EBITDA (2015 - 2019)
HUTCHMED (China)'s EBITDA was -$25.85 million in the year ended Dec 31, 2025, compared with -$31.36 million a year earlier.
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Analysis
HUTCHMED (China) (HCM) EBITDA (2015 - 2019) Analysis & Trends
From the year ended Dec 31, 2014 onward, HUTCHMED (China) has reported EBITDA for 12 years.
- Annual EBITDA has moved between -$399.03 million (the year ended Dec 31, 2022) and $26.58 million (the year ended Dec 31, 2023) over five years.
- Per Business Quant data, EBITDA in earlier years was -$31.36 million in the year ended Dec 31, 2024, $26.58 million in the year ended Dec 31, 2023, -$399.03 million in the year ended Dec 31, 2022 and -$321.13 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 5.89 Bn |
| 10 | HUTCHMED (China) | 2.53 Bn | -2.41 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -37.13 Mn |
| Sep 30, 2019 | -34.71 Mn |
| Dec 31, 2018 | -23.14 Mn |
| Sep 30, 2018 | -13.91 Mn |
| Jun 30, 2015 | 29.65 Mn |
API Access
HUTCHMED (China) EBITDA 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=ebitda&ticker=HCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();