Celldex Therapeutics (CLDX) Total Non-Current Liabilities (2010 - 2026)
Celldex Therapeutics (CLDX) reported Total Non-Current Liabilities of $64.67 million for Q2 2026, up 87.7% from $34.46 million a year earlier and up 24.6% from the prior quarter.
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Analysis
Celldex Therapeutics (CLDX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Celldex Therapeutics posted Total Non-Current Liabilities of $51.78 million, up 23.7% from FY2024.
- Total Non-Current Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $41.86 million in FY2024 (+30.6%), $32.05 million in FY2023 (+51.2%), $21.2 million in FY2022 (+18.9%) and $17.82 million in FY2021 (+8.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 12 quarters, with growth averaging 37.4% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 104.2%); the low point was Q2 2023 (a decline of 46.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $51.92 million (Q1 2026), $51.78 million (Q4 2025) and $47.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Celldex Therapeutics | 2.47 Bn | 2.47 Bn | - | 64.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.67 Mn |
| Mar 31, 2026 | 51.92 Mn |
| Dec 31, 2025 | 51.78 Mn |
| Sep 30, 2025 | 47.53 Mn |
| Jun 30, 2025 | 34.46 Mn |
| Mar 31, 2025 | 33.95 Mn |
| Dec 31, 2024 | 41.86 Mn |
| Sep 30, 2024 | 33.80 Mn |
| Jun 30, 2024 | 28.45 Mn |
| Mar 31, 2024 | 26.76 Mn |
| Dec 31, 2023 | 32.05 Mn |
| Sep 30, 2023 | 29.14 Mn |
| Jun 30, 2023 | 17.37 Mn |
| Mar 31, 2023 | 17.38 Mn |
| Dec 31, 2022 | 21.20 Mn |
| Sep 30, 2022 | 18.48 Mn |
| Jun 30, 2022 | 32.54 Mn |
| Mar 31, 2022 | 15.40 Mn |
| Dec 31, 2021 | 17.82 Mn |
| Sep 30, 2021 | 15.89 Mn |
API Access
Celldex Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CLDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CLDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();