Halozyme Therapeutics (HALO) Total Liabilities (2010 - 2026)
Halozyme Therapeutics (HALO) posted Total Liabilities of $2.43 billion for Q2 2026, up 41.4% from $1.72 billion a year earlier but down 0.8% from the prior quarter.
Halozyme Therapeutics (HALO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Halozyme Therapeutics' Total Liabilities came in at $2.48 billion, up 45.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 42.0% (FY2020 to FY2025).
- In prior years, Halozyme Therapeutics' Total Liabilities was $1.7 billion in FY2024 (+3.0%), $1.65 billion in FY2023 (-1.3%), $1.67 billion in FY2022 (+84.2%) and $907.48 million in FY2021 (+111.6%).
- Quarterly Total Liabilities has run from a low of $901.99 million in Q1 2022 to a high of $2.48 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last ten quarters, with growth averaging 17.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 112.6%; the weakest was Q3 2023, with a decline of 7.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.45 billion (Q1 2026), $2.48 billion (Q4 2025) and $1.72 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Halozyme Therapeutics | 12.72 Bn | 11.33 Bn | 401.83 Mn | 2.43 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Bn |
| Mar 31, 2026 | 2.45 Bn |
| Dec 31, 2025 | 2.48 Bn |
| Sep 30, 2025 | 1.72 Bn |
| Jun 30, 2025 | 1.72 Bn |
| Mar 31, 2025 | 1.71 Bn |
| Dec 31, 2024 | 1.70 Bn |
| Sep 30, 2024 | 1.67 Bn |
| Jun 30, 2024 | 1.68 Bn |
| Mar 31, 2024 | 1.66 Bn |
| Dec 31, 2023 | 1.65 Bn |
| Sep 30, 2023 | 1.64 Bn |
| Jun 30, 2023 | 1.66 Bn |
| Mar 31, 2023 | 1.63 Bn |
| Dec 31, 2022 | 1.67 Bn |
| Sep 30, 2022 | 1.77 Bn |
| Jun 30, 2022 | 1.49 Bn |
| Mar 31, 2022 | 901.99 Mn |
| Dec 31, 2021 | 907.48 Mn |
| Sep 30, 2021 | 903.75 Mn |
Halozyme Therapeutics Total Liabilities 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=total-liabilities&ticker=HALO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "HALO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=HALO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();