Argenx Se (ARGX) Selling, General & Administrative (2016 - 2026)
Argenx Se's Selling, General & Administrative came in at -$598 million for Q3 2026, compared with -$336 million a year earlier.
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Analysis
Argenx Se (ARGX) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Argenx Se reported Selling, General & Administrative of -$255.62 million; for FY2025, it was $1.37 billion, up 29.5% from FY2024.
- Selling, General & Administrative has increased in each of the last ten years, with a five-year compound annual growth rate of 51.4% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $1.06 billion in FY2024 (+48.2%), $711.91 million in FY2023 (+50.8%), $472.13 million in FY2022 (+53.5%) and $307.64 million in FY2021 (+79.2%).
- The Q3 2026 figure represents the lowest quarterly Selling, General & Administrative in data going back to Q3 2016.
- Business Quant data shows ARGX's Selling, General & Administrative at $1.13 billion (Q2 2026), -$355 million (Q1 2026) and -$429.62 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Argenx Se | 56.96 Bn | 56.96 Bn | 1.56 Bn | 598.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 598.00 Mn |
| Jun 30, 2026 | 417.00 Mn |
| Mar 31, 2026 | 355.00 Mn |
| Dec 31, 2025 | 429.62 Mn |
| Sep 30, 2025 | 336.00 Mn |
| Jun 30, 2025 | 324.90 Mn |
| Mar 31, 2025 | 276.00 Mn |
| Dec 31, 2024 | 285.95 Mn |
| Sep 30, 2024 | 277.70 Mn |
| Jun 30, 2024 | 255.70 Mn |
| Mar 31, 2024 | 236.00 Mn |
| Dec 31, 2023 | 208.83 Mn |
| Sep 30, 2023 | 191.93 Mn |
| Jun 30, 2023 | 161.98 Mn |
| Mar 31, 2023 | 149.17 Mn |
| Dec 31, 2022 | 135.29 Mn |
| Sep 30, 2022 | 108.18 Mn |
| Jun 30, 2022 | 127.80 Mn |
| Mar 31, 2022 | 100.87 Mn |
| Dec 31, 2021 | 97.42 Mn |
API Access
Argenx Se 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=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ARGX", "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=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();