Argenx Se (ARGX) Inventory (2020 - 2026)
Argenx Se's (ARGX) quarterly Inventory came in at $371.0 million in Q2 2026, down 99.89% on a YoY basis from $340.6 billion in Q2 2025, and down 21.73% quarter-over-quarter from $474.0 million in Q4 2025.
Argenx Se (ARGX) Inventory (2020 - 2026) Analysis & Trends
Argenx Se (ARGX) has reported Inventory for 7 consecutive years, with $371.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Inventory fell 99.89% year-over-year to $371.0 million; the trailing twelve-month figure through Jun 2026 stood at $371.0 million (down 99.89% YoY), and the FY2025 full-year result was $474.0 million, down 99.88% from the prior year.
- Inventory slipped to $371.0 million in Q2 2026 per ARGX's latest filing, from $474.0 million in the prior quarter.
- Across five years, Inventory topped out at $407.2 billion in Q4 2024 and bottomed at $135.7 million in Q2 2022.
- Historically, Inventory has averaged $108.7 billion across 5 years, with a median of $371.0 million in 2026.
- The sharpest annual moves came in 2024 and 2026: Inventory soared 131032.83% in 2024, then slumped 99.89% in 2026.
- Over 5 years, Inventory stood at $228.4 billion in 2022, then slumped by 99.86% to $310.6 million in 2023, then jumped by 131032.83% to $407.2 billion in 2024, then plunged by 99.88% to $474.0 million in 2025, then dropped by 21.73% to $371.0 million in 2026.
- According to Business Quant data, Inventory over the past three periods registered $371.0 million, $474.0 million, and $340.6 billion for Q2 2026, Q4 2025, and Q2 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn | 1.77 Bn |
| 10 | Argenx Se | 58.53 Bn | 53.35 Bn | 1.37 Bn | 371.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.00 Mn |
| Dec 31, 2025 | 474.00 Mn |
| Jun 30, 2025 | 340.62 Bn |
| Dec 31, 2024 | 407.23 Bn |
| Jun 30, 2024 | 326.46 Mn |
| Dec 31, 2023 | 310.55 Mn |
| Jun 30, 2023 | 201.11 Mn |
| Dec 31, 2022 | 228.35 Bn |
| Jun 30, 2022 | 135.71 Mn |
| Dec 31, 2021 | 109.08 Bn |
| Jun 30, 2021 | 59.22 Mn |
| Dec 31, 2020 | 24.48 Bn |
| Jun 30, 2020 | 5.48 Mn |
Argenx Se Inventory 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=inventory&ticker=ARGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();