Avenue Therapeutics (ATXI) Selling, General & Administrative (2016 - 2026)
Avenue Therapeutics (ATXI) reported Selling, General & Administrative of $460,000 for Q2 2026, down 49.7% from $915,000 a year earlier and down 10.5% from the prior quarter.
Avenue Therapeutics (ATXI) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Avenue Therapeutics' Selling, General & Administrative came in at $2.22 million, down 48.0% year-over-year; for FY2025, it was $3.65 million, down 21.2% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $4.64 million in FY2024 (+11.0%), $4.18 million in FY2023 (-21.8%), $5.35 million in FY2022 (+115.2%) and $2.48 million in FY2021 (+5.8%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q2 2022.
- Year over year, Selling, General & Administrative has now declined in each of the last five quarters, with an average decline of 30.4% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2022 (growth of 542.6%); the low point was Q4 2023 (a decline of 66.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $514,000 (Q1 2026), $698,000 (Q4 2025) and $547,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Avenue Therapeutics | 1.32 Mn | -9.61 Mn | - | 460,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 460,000.00 |
| Mar 31, 2026 | 514,000.00 |
| Dec 31, 2025 | 698,000.00 |
| Sep 30, 2025 | 547,000.00 |
| Jun 30, 2025 | 915,000.00 |
| Mar 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 1.03 Mn |
| Sep 30, 2024 | 829,000.00 |
| Jun 30, 2024 | 1.46 Mn |
| Mar 31, 2024 | 1.32 Mn |
| Dec 31, 2023 | 1.14 Mn |
| Sep 30, 2023 | 1.16 Mn |
| Jun 30, 2023 | 896,000.00 |
| Mar 31, 2023 | 984,000.00 |
| Dec 31, 2022 | 3.37 Mn |
| Sep 30, 2022 | 469,000.00 |
| Jun 30, 2022 | 454,000.00 |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 524,000.00 |
| Sep 30, 2021 | 594,000.00 |
Avenue Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=ATXI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ATXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();