Celldex Therapeutics (CLDX) Operating Expenses (2010 - 2026)
Celldex Therapeutics (CLDX) reported Operating Expenses of $80.65 million for Q2 2026, up 24.9% from $64.59 million a year earlier but down 4.5% from the prior quarter.
Celldex Therapeutics (CLDX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Celldex Therapeutics' Operating Expenses came in at $325.99 million, up 35.5% year-over-year; for FY2025, it came in at $288.91 million, up 43.0% from FY2024.
- Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $202.1 million in FY2024 (+25.2%), $161.43 million in FY2023 (+37.3%), $117.59 million in FY2022 (+54.9%) and $75.89 million in FY2021 (+7.2%).
- Five-year quarterly Operating Expenses spans a low of $20.67 million in Q4 2021 and a high of $87.27 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last 12 quarters, with growth averaging 33.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 116.1%); the low point was Q4 2021 (a decline of 27.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $84.45 million (Q1 2026), $87.27 million (Q4 2025) and $73.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Celldex Therapeutics | 2.47 Bn | 2.47 Bn | - | 80.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.65 Mn |
| Mar 31, 2026 | 84.45 Mn |
| Dec 31, 2025 | 87.27 Mn |
| Sep 30, 2025 | 73.62 Mn |
| Jun 30, 2025 | 64.59 Mn |
| Mar 31, 2025 | 63.43 Mn |
| Dec 31, 2024 | 57.20 Mn |
| Sep 30, 2024 | 55.32 Mn |
| Jun 30, 2024 | 48.82 Mn |
| Mar 31, 2024 | 40.76 Mn |
| Dec 31, 2023 | 51.76 Mn |
| Sep 30, 2023 | 42.76 Mn |
| Jun 30, 2023 | 33.47 Mn |
| Mar 31, 2023 | 33.44 Mn |
| Dec 31, 2022 | 29.50 Mn |
| Sep 30, 2022 | 28.10 Mn |
| Jun 30, 2022 | 36.56 Mn |
| Mar 31, 2022 | 23.43 Mn |
| Dec 31, 2021 | 20.67 Mn |
| Sep 30, 2021 | 20.98 Mn |
Celldex Therapeutics Operating Expenses 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-expenses&ticker=CLDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CLDX", "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-expenses&ticker=CLDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();