HUTCHMED (China) (HCM) EBITDA Margin (2015 - 2019)
HUTCHMED (China)'s EBITDA Margin came in at -4.71% for the year ended Dec 31, 2025, up 0.26 percentage points from -4.98% a year earlier.
Analysis
HUTCHMED (China) (HCM) EBITDA Margin (2015 - 2019) Analysis & Trends
Going back to the year ended Dec 31, 2014, HUTCHMED (China)'s EBITDA Margin data covers 12 years.
- EBITDA Margin carries a five-year change of +78.90 percentage points (years ended Dec 2020 to Dec 2025).
- The five-year range for annual EBITDA Margin is -93.58% (the year ended Dec 31, 2022) to 3.17% (the year ended Dec 31, 2023).
- Per Business Quant, earlier years put EBITDA Margin at -4.98% in the year ended Dec 31, 2024 (-8.15 pp), 3.17% in the year ended Dec 31, 2023 (+96.75 pp), -93.58% in the year ended Dec 31, 2022 (-3.41 pp) and -90.17% in the year ended Dec 31, 2021 (-6.56 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 53.49% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 35.95% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 49.01% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 6.02% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.11% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 46.01% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -124.26% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 39.16% |
| 10 | HUTCHMED (China) | 2.49 Bn | -2.46 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -69.60% |
| Sep 30, 2019 | -70.34% |
| Dec 31, 2018 | -43.58% |
| Sep 30, 2018 | -23.66% |
| Jun 30, 2015 | 23.56% |
API Access
HUTCHMED (China) EBITDA Margin 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-margin&ticker=HCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=HCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();