CytomX Therapeutics (CTMX) Total Non-Current Liabilities (2014 - 2026)
CytomX Therapeutics (CTMX) reported Total Non-Current Liabilities of $74.69 million for Q2 2026, up 46.7% from $50.91 million a year earlier and up 113.4% from the prior quarter.
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Analysis
CytomX Therapeutics (CTMX) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, CytomX Therapeutics posted Total Non-Current Liabilities of $48.21 million, down 58.8% from FY2024.
- Total Non-Current Liabilities has declined for three consecutive years, with a three-year compound annual growth rate of -48.2% (FY2022 to FY2025).
- By year, Total Non-Current Liabilities came in at $116.87 million in FY2024 (-52.4%), $245.35 million in FY2023 (-29.2%) and $346.64 million in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q4 2024.
- Year over year, Total Non-Current Liabilities gained in 1 of the last eight quarters, with an average decline of 45.7%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 46.7%); the low point was Q2 2025 (a decline of 72.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35 million (Q1 2026), $48.21 million (Q4 2025) and $46.57 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 | CytomX Therapeutics | 586.15 Mn | -371.52 Mn | - | 74.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.69 Mn |
| Mar 31, 2026 | 35.00 Mn |
| Dec 31, 2025 | 48.21 Mn |
| Sep 30, 2025 | 46.57 Mn |
| Jun 30, 2025 | 50.91 Mn |
| Mar 31, 2025 | 69.27 Mn |
| Dec 31, 2024 | 116.87 Mn |
| Sep 30, 2024 | 158.38 Mn |
| Jun 30, 2024 | 186.45 Mn |
| Mar 31, 2024 | 212.43 Mn |
| Dec 31, 2023 | 245.35 Mn |
| Sep 30, 2023 | 269.65 Mn |
| Jun 30, 2023 | 294.00 Mn |
| Dec 31, 2022 | 346.64 Mn |
| Jun 30, 2022 | 314.62 Mn |
| Dec 31, 2019 | 314.96 Mn |
| Sep 30, 2019 | 289.47 Mn |
| Jun 30, 2019 | 302.82 Mn |
| Mar 31, 2019 | 320.98 Mn |
| Dec 31, 2018 | 318.23 Mn |
API Access
CytomX 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=CTMX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CTMX", "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=CTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();