Heron Therapeutics (HRTX) Operating Expenses (2010 - 2026)
Heron Therapeutics (HRTX) reported Operating Expenses of $28.14 million for Q2 2026, down 2.9% from $28.98 million a year earlier and down 2.4% from the prior quarter.
Heron Therapeutics (HRTX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Heron Therapeutics' Operating Expenses came in at $116.8 million, up 5.7% year-over-year; for FY2025, it came in at $116.1 million, down 0.9% from FY2024.
- Operating Expenses has declined for six consecutive years, with a five-year compound annual growth rate of -18.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $117.17 million in FY2024 (-32.1%), $172.55 million in FY2023 (-24.1%), $227.46 million in FY2022 (-25.2%) and $304.17 million in FY2021 (-4.0%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 6.1%.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 19.8%); the low point was Q4 2022 (a decline of 49.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $28.84 million (Q1 2026), $29.43 million (Q4 2025) and $30.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.08 Bn | 1,101.67 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 616.40 Bn | 534.93 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 501.19 Bn | 474.31 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 367.18 Bn | 321.56 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.99 Bn | 261.98 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.67 Bn | 235.36 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.57 Bn | 190.97 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.62 Bn | 164.82 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.63 Bn | 116.28 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Heron Therapeutics | 63.76 Mn | -125.80 Mn | 26.09 Mn | 28.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.14 Mn |
| Mar 31, 2026 | 28.84 Mn |
| Dec 31, 2025 | 29.43 Mn |
| Sep 30, 2025 | 30.39 Mn |
| Jun 30, 2025 | 28.98 Mn |
| Mar 31, 2025 | 27.29 Mn |
| Dec 31, 2024 | 26.38 Mn |
| Sep 30, 2024 | 27.81 Mn |
| Jun 30, 2024 | 31.95 Mn |
| Mar 31, 2024 | 31.02 Mn |
| Dec 31, 2023 | 34.57 Mn |
| Sep 30, 2023 | 38.16 Mn |
| Jun 30, 2023 | 54.01 Mn |
| Mar 31, 2023 | 45.82 Mn |
| Dec 31, 2022 | 37.76 Mn |
| Sep 30, 2022 | 53.72 Mn |
| Jun 30, 2022 | 77.13 Mn |
| Mar 31, 2022 | 86.38 Mn |
| Dec 31, 2021 | 74.19 Mn |
| Sep 30, 2021 | 74.94 Mn |
Heron Therapeutics 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=operating-expenses&ticker=HRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HRTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();