Argenx Se (ARGX) Operating Leases (2019 - 2026)
Argenx Se's (ARGX) quarterly Operating Leases came in at $36.0 million in Q2 2026, down 99.9% on a YoY basis from $35.6 billion in Q2 2025, and little changed quarter-over-quarter from $36.0 million in Q4 2025.
Argenx Se (ARGX) Operating Leases (2019 - 2026) Analysis & Trends
Argenx Se (ARGX) has reported Operating Leases for 8 consecutive years, with $36.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Operating Leases fell 99.9% year-over-year to $36.0 million; the trailing twelve-month figure through Jun 2026 stood at $36.0 million (down 99.9% YoY), and the FY2025 full-year result was $36.0 million, down 99.89% from the prior year.
- Operating Leases steadied at $36.0 million in Q2 2026 per ARGX's latest filing, from $36.0 million in the prior quarter.
- Across five years, Operating Leases topped out at $35.6 billion in Q2 2025 and bottomed at $6.2 million in Q2 2022.
- Historically, Operating Leases has averaged $8.6 billion across 5 years, with a median of $36.0 million in 2025.
- The sharpest annual moves came in 2024 and 2026: Operating Leases soared 211701.48% in 2024, then sank 99.9% in 2026.
- Over 5 years, Operating Leases stood at $9.0 billion in 2022, then tumbled by 99.83% to $15.4 million in 2023, then jumped by 211701.48% to $32.5 billion in 2024, then slumped by 99.89% to $36.0 million in 2025, then changed by 0.0% to $36.0 million in 2026.
- According to Business Quant data, Operating Leases over the past three periods registered $36.0 million, $36.0 million, and $35.6 billion for Q2 2026, Q4 2025, and Q2 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn |
| 10 | Argenx Se | 58.53 Bn | 53.35 Bn | 1.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.00 Mn |
| Dec 31, 2025 | 36.00 Mn |
| Jun 30, 2025 | 35.57 Bn |
| Dec 31, 2024 | 32.52 Bn |
| Jun 30, 2024 | 28.11 Mn |
| Dec 31, 2023 | 15.35 Mn |
| Jun 30, 2023 | 8.04 Mn |
| Dec 31, 2022 | 9.01 Bn |
| Jun 30, 2022 | 6.21 Mn |
| Dec 31, 2021 | 7.96 Bn |
| Jun 30, 2021 | 4.43 Mn |
| Dec 31, 2020 | 6.00 Bn |
| Jun 30, 2020 | 5.14 Mn |
| Dec 31, 2019 | 5.03 Mn |
| Jun 30, 2019 | 4.14 Mn |
Argenx Se Operating Leases 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=operating-leases&ticker=ARGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();