Atea Pharmaceuticals (AVIR) Selling, General & Administrative (2019 - 2026)
Atea Pharmaceuticals (AVIR) reported Selling, General & Administrative of $6.95 million for Q2 2026, down 23.4% from $9.07 million a year earlier but up 1.1% from the prior quarter.
Atea Pharmaceuticals (AVIR) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Atea Pharmaceuticals' Selling, General & Administrative came in at $28.16 million, down 34.4% year-over-year; for FY2025, it came in at $32.86 million, down 32.7% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $48.85 million in FY2024 (-2.1%), $49.92 million in FY2023 (+2.5%), $48.71 million in FY2022 (+6.4%) and $45.79 million in FY2021 (+111.6%).
- Five-year quarterly Selling, General & Administrative spans a low of $6.87 million in Q1 2026 and a high of $13.36 million in Q4 2024.
- Year over year, Selling, General & Administrative has now declined in each of the last six quarters, with an average decline of 22.1% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 196.4%); the low point was Q4 2025 (a decline of 46.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.87 million (Q1 2026), $7.12 million (Q4 2025) and $7.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Atea Pharmaceuticals | 337.28 Mn | -631.22 Mn | - | 6.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.92 Mn |
| Jun 30, 2026 | 6.95 Mn |
| Mar 31, 2026 | 6.87 Mn |
| Dec 31, 2025 | 7.12 Mn |
| Sep 30, 2025 | 7.22 Mn |
| Jun 30, 2025 | 9.07 Mn |
| Mar 31, 2025 | 9.46 Mn |
| Dec 31, 2024 | 13.36 Mn |
| Sep 30, 2024 | 11.04 Mn |
| Jun 30, 2024 | 12.22 Mn |
| Mar 31, 2024 | 12.23 Mn |
| Dec 31, 2023 | 11.53 Mn |
| Sep 30, 2023 | 12.60 Mn |
| Jun 30, 2023 | 13.17 Mn |
| Mar 31, 2023 | 12.62 Mn |
| Dec 31, 2022 | 12.36 Mn |
| Sep 30, 2022 | 11.38 Mn |
| Jun 30, 2022 | 12.44 Mn |
| Mar 31, 2022 | 12.54 Mn |
| Dec 31, 2021 | 13.19 Mn |
Atea Pharmaceuticals 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=AVIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "AVIR", "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=AVIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();