HUTCHMED (China) (HCM) Cash & Equivalents (2014 - 2026)
HUTCHMED (China)'s Cash & Equivalents was $106.56 million in the quarter ended Jun 30, 2026, down 3.8% from $110.72 million a year earlier.
HUTCHMED (China) (HCM) Cash & Equivalents (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Cash & Equivalents at HUTCHMED (China) came in at $71.33 million, down 97.3% from the prior year.
- Cash & Equivalents shows a five-year compound annual growth rate of -21.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Cash & Equivalents was $2.68 billion in the year ended Dec 31, 2024 (+757.0%), $313.28 million in the year ended Dec 31, 2023 (-17.0%), $377.54 million in the year ended Dec 31, 2022 (unchanged) and $377.54 million in the year ended Dec 31, 2021 (+60.2%).
- Quarterly Cash & Equivalents has moved between $71.33 million (the quarter ended Dec 31, 2025) and $2.68 billion (the quarter ended Dec 31, 2024) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in 1 of the last four quarters, with growth averaging 152.6%.
- The best year-over-year quarter for Cash & Equivalents over five years was the quarter ended Dec 31, 2024 (growth of 757.0%); the worst was the quarter ended Dec 31, 2025 (a decline of 97.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | HUTCHMED (China) | 2.48 Bn | 2.49 Bn | - | 106.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.56 Mn |
| Dec 31, 2025 | 71.33 Mn |
| Jun 30, 2025 | 110.72 Mn |
| Dec 31, 2024 | 2.68 Bn |
| Jun 30, 2024 | 203.95 Mn |
| Dec 31, 2023 | 313.28 Mn |
| Jun 30, 2023 | 223.00 Mn |
| Dec 31, 2022 | 313.28 Mn |
| Jun 30, 2022 | 467.50 Mn |
| Dec 31, 2021 | 377.54 Mn |
| Jun 30, 2021 | 587.44 Mn |
| Mar 31, 2021 | 346.13 Mn |
| Dec 31, 2020 | 235.63 Mn |
| Jun 30, 2020 | 49.94 Mn |
| Mar 31, 2020 | 132.24 Mn |
| Dec 31, 2019 | 86.04 Mn |
| Sep 30, 2019 | 97.08 Mn |
| Jun 30, 2019 | 83.36 Mn |
| Mar 31, 2019 | 91.69 Mn |
| Dec 31, 2018 | 85.27 Mn |
HUTCHMED (China) Cash & Equivalents 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=cash-and-equivalents&ticker=HCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();