Avenue Therapeutics (ATXI) Operating Expenses (2016 - 2026)
Avenue Therapeutics' Operating Expenses came in at $707,000 for Q2 2026, down 36.1% from $1.11 million a year earlier and down 1.0% from the prior quarter.
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Analysis
Avenue Therapeutics (ATXI) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Avenue Therapeutics reported Operating Expenses of $2.9 million, down 62.7% year-over-year; for FY2025, it came in at $4.49 million, down 60.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $11.28 million in FY2024 (+9.4%), $10.31 million in FY2023 (+28.2%), $8.04 million in FY2022 (+115.2%) and $3.74 million in FY2021 (-28.3%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2022.
- Year-over-year, Operating Expenses has declined for seven consecutive quarters, with an average decline of 38.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2023 (growth of 548.4%), and the weakest in Q3 2025 (a decline of 77.1%).
- Business Quant data shows ATXI's Operating Expenses at $714,000 (Q1 2026), $752,000 (Q4 2025) and $724,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Avenue Therapeutics | 1.32 Mn | -9.61 Mn | - | 707,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 707,000.00 |
| Mar 31, 2026 | 714,000.00 |
| Dec 31, 2025 | 752,000.00 |
| Sep 30, 2025 | 724,000.00 |
| Jun 30, 2025 | 1.11 Mn |
| Mar 31, 2025 | 1.91 Mn |
| Dec 31, 2024 | 1.60 Mn |
| Sep 30, 2024 | 3.16 Mn |
| Jun 30, 2024 | 2.82 Mn |
| Mar 31, 2024 | 3.71 Mn |
| Dec 31, 2023 | 2.12 Mn |
| Sep 30, 2023 | 2.07 Mn |
| Jun 30, 2023 | 3.92 Mn |
| Mar 31, 2023 | 2.20 Mn |
| Dec 31, 2022 | 3.91 Mn |
| Sep 30, 2022 | 663,000.00 |
| Jun 30, 2022 | 605,000.00 |
| Mar 31, 2022 | 2.86 Mn |
| Dec 31, 2021 | 914,000.00 |
| Sep 30, 2021 | 872,000.00 |
API Access
Avenue 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=ATXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ATXI", "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=ATXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();