Annexon (ANNX) Selling, General & Administrative (2019 - 2026)
Annexon (ANNX) posted Selling, General & Administrative of $10.64 million for Q2 2026, up 40.6% from $7.57 million a year earlier and up 3.6% from the prior quarter.
Annexon (ANNX) Selling, General & Administrative (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Annexon was $35.82 million, up 1.6% year-over-year; for FY2025, it came in at $31.71 million, down 8.4% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In prior years, Annexon's Selling, General & Administrative was $34.63 million in FY2024 (+15.5%), $29.97 million in FY2023 (-9.5%), $33.1 million in FY2022 (+8.0%) and $30.65 million in FY2021 (+115.9%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative in data going back to Q2 2019.
- On a year-over-year basis, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 11.8%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2021, with growth of 112.6%; the weakest was Q3 2025, with a decline of 21.6%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $10.27 million (Q1 2026), $7.6 million (Q4 2025) and $7.32 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 | Annexon | 803.12 Mn | -82.87 Mn | - | 10.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.87 Mn |
| Jun 30, 2026 | 10.64 Mn |
| Mar 31, 2026 | 10.27 Mn |
| Dec 31, 2025 | 7.60 Mn |
| Sep 30, 2025 | 7.32 Mn |
| Jun 30, 2025 | 7.57 Mn |
| Mar 31, 2025 | 9.23 Mn |
| Dec 31, 2024 | 9.13 Mn |
| Sep 30, 2024 | 9.34 Mn |
| Jun 30, 2024 | 8.55 Mn |
| Mar 31, 2024 | 7.61 Mn |
| Dec 31, 2023 | 6.74 Mn |
| Sep 30, 2023 | 6.89 Mn |
| Jun 30, 2023 | 7.44 Mn |
| Mar 31, 2023 | 8.90 Mn |
| Dec 31, 2022 | 8.16 Mn |
| Sep 30, 2022 | 8.21 Mn |
| Jun 30, 2022 | 8.30 Mn |
| Mar 31, 2022 | 8.43 Mn |
| Dec 31, 2021 | 10.24 Mn |
Annexon 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=ANNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ANNX", "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=ANNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();