Halozyme Therapeutics (HALO) Other Operating Expenses (2010 - 2026)
Halozyme Therapeutics (HALO) reported Other Operating Expenses of $108.68 million for Q2 2026, up 69.5% from $64.12 million a year earlier but down 0.1% from the prior quarter.
Halozyme Therapeutics (HALO) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Halozyme Therapeutics' Other Operating Expenses came in at $726.17 million, up 182.2% year-over-year; for FY2025, it was $639.02 million, up 177.3% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 71.3% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $230.47 million in FY2024 (-13.4%), $266.13 million in FY2023 (+45.9%), $182.45 million in FY2022 (+124.1%) and $81.41 million in FY2021 (+87.7%).
- Five-year quarterly Other Operating Expenses spans a low of $15.92 million in Q1 2022 and a high of $435.73 million in Q4 2025.
- Year over year, Other Operating Expenses has now increased in each of the last six quarters, with growth averaging 100.1% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q4 2025 (growth of 628.4%); the low point was Q4 2021 (a decline of 17.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $108.75 million (Q1 2026), $435.73 million (Q4 2025) and $73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Halozyme Therapeutics | 12.20 Bn | 10.80 Bn | 401.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.68 Mn |
| Mar 31, 2026 | 108.75 Mn |
| Dec 31, 2025 | 435.73 Mn |
| Sep 30, 2025 | 73.00 Mn |
| Jun 30, 2025 | 64.12 Mn |
| Mar 31, 2025 | 66.17 Mn |
| Dec 31, 2024 | 59.82 Mn |
| Sep 30, 2024 | 67.19 Mn |
| Jun 30, 2024 | 57.37 Mn |
| Mar 31, 2024 | 46.09 Mn |
| Dec 31, 2023 | 70.06 Mn |
| Sep 30, 2023 | 75.16 Mn |
| Jun 30, 2023 | 67.91 Mn |
| Mar 31, 2023 | 53.01 Mn |
| Dec 31, 2022 | 46.67 Mn |
| Sep 30, 2022 | 74.51 Mn |
| Jun 30, 2022 | 45.35 Mn |
| Mar 31, 2022 | 15.92 Mn |
| Dec 31, 2021 | 21.59 Mn |
| Sep 30, 2021 | 18.59 Mn |
Halozyme Therapeutics Other Operating 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=other-operating-expenses&ticker=HALO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=HALO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();