Halozyme Therapeutics (HALO) Accumulated Expenses (2009 - 2026)
Halozyme Therapeutics (HALO) posted Accumulated Expenses of $111.86 million for Q2 2026, down 3.2% from $115.59 million a year earlier and down 20.3% from the prior quarter.
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Analysis
Halozyme Therapeutics (HALO) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Halozyme Therapeutics' Accumulated Expenses came in at $156.19 million, up 21.2% from FY2024.
- Annual Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 50.1% (FY2020 to FY2025).
- In prior years, Halozyme Therapeutics' Accumulated Expenses was $128.85 million in FY2024 (+28.0%), $100.68 million in FY2023 (+0.9%), $99.76 million in FY2022 (+308.2%) and $24.44 million in FY2021 (+19.3%).
- Quarterly Accumulated Expenses has run from a low of $18.34 million in Q3 2021 to a high of $156.19 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 9.8%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2022, with growth of 336.3%; the weakest was Q3 2021, with a decline of 28.9%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $140.37 million (Q1 2026), $156.19 million (Q4 2025) and $111.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Halozyme Therapeutics | 11.73 Bn | 9.97 Bn | 410.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 136.93 Mn |
| Jun 30, 2026 | 111.86 Mn |
| Mar 31, 2026 | 140.37 Mn |
| Dec 31, 2025 | 156.19 Mn |
| Sep 30, 2025 | 111.18 Mn |
| Jun 30, 2025 | 115.59 Mn |
| Mar 31, 2025 | 130.31 Mn |
| Dec 31, 2024 | 128.85 Mn |
| Sep 30, 2024 | 96.42 Mn |
| Jun 30, 2024 | 117.93 Mn |
| Mar 31, 2024 | 118.31 Mn |
| Dec 31, 2023 | 100.68 Mn |
| Sep 30, 2023 | 95.20 Mn |
| Jun 30, 2023 | 105.43 Mn |
| Mar 31, 2023 | 79.98 Mn |
| Dec 31, 2022 | 99.76 Mn |
| Sep 30, 2022 | 74.32 Mn |
| Jun 30, 2022 | 84.10 Mn |
| Mar 31, 2022 | 19.13 Mn |
| Dec 31, 2021 | 24.44 Mn |
API Access
Halozyme Therapeutics Accumulated 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=accumulated-expenses&ticker=HALO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HALO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();