Argenx Se (ARGX) Cost of Revenue (2022 - 2026)
Argenx Se (ARGX) recorded Cost of Revenue of $145 million in Q2 2026, up 30.9% from $110.75 million a year earlier and up 19.8% from the prior quarter.
Powered by 
Analysis
Argenx Se (ARGX) Cost of Revenue (2022 - 2026) Analysis & Trends
On a TTM basis, Argenx Se's Cost of Revenue came in at $525.11 million as of Jun 30, 2026, up 62.3% year-over-year; for FY2025, it was $450.67 million, up 98.3% from FY2024.
- Annual Cost of Revenue has increased for three straight years, with a three-year compound annual growth rate of 148.3% (FY2022 to FY2025).
- Across earlier years, Cost of Revenue came in at $227.29 million in FY2024 (+92.9%), $117.84 million in FY2023 (+300.4%) and $29.43 million in FY2022.
- Quarterly Cost of Revenue has ranged from $1.37 million in Q1 2022 to $149.69 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for 13 consecutive quarters, with growth averaging 77.3% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 30.9% (Q2 2026) and 379.5% (Q2 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $121 million (Q1 2026), $149.69 million (Q4 2025) and $109.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Argenx Se | 50.23 Bn | 34.19 Bn | 1.37 Bn | 145.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.00 Mn |
| Mar 31, 2026 | 121.00 Mn |
| Dec 31, 2025 | 149.69 Mn |
| Sep 30, 2025 | 109.43 Mn |
| Jun 30, 2025 | 110.75 Mn |
| Mar 31, 2025 | 81.00 Mn |
| Dec 31, 2024 | 72.66 Mn |
| Sep 30, 2024 | 59.07 Mn |
| Jun 30, 2024 | 52.38 Mn |
| Mar 31, 2024 | 43.18 Mn |
| Dec 31, 2023 | 39.48 Mn |
| Sep 30, 2023 | 36.00 Mn |
| Jun 30, 2023 | 24.02 Mn |
| Mar 31, 2023 | 18.34 Mn |
| Dec 31, 2022 | 12.79 Mn |
| Sep 30, 2022 | 10.26 Mn |
| Jun 30, 2022 | 5.01 Mn |
| Mar 31, 2022 | 1.37 Mn |
API Access
Argenx Se Cost of Revenue 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=cost-of-revenue&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();