CytomX Therapeutics (CTMX) Total Current Liabilities (2014 - 2026)
CytomX Therapeutics (CTMX) reported Total Current Liabilities of $39.86 million for Q2 2026, up 1.6% from $39.22 million a year earlier and up 17.2% from the prior quarter.
CytomX Therapeutics (CTMX) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, CytomX Therapeutics posted Total Current Liabilities of $46.62 million, down 45.7% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $85.77 million in FY2024 (-45.0%), $155.91 million in FY2023 (+2.2%), $152.61 million in FY2022 (+96.0%) and $77.87 million in FY2021 (+14.3%).
- Five-year quarterly Total Current Liabilities spans a low of $34.02 million in Q1 2026 and a high of $155.91 million in Q4 2023.
- Year over year, Total Current Liabilities gained in 1 of the last eight quarters, with an average decline of 42.9%.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2022 (growth of 96.0%); the low point was Q2 2025 (a decline of 72.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.02 million (Q1 2026), $46.62 million (Q4 2025) and $41.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | CytomX Therapeutics | 586.15 Mn | -371.52 Mn | - | 39.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.86 Mn |
| Mar 31, 2026 | 34.02 Mn |
| Dec 31, 2025 | 46.62 Mn |
| Sep 30, 2025 | 41.03 Mn |
| Jun 30, 2025 | 39.22 Mn |
| Mar 31, 2025 | 50.20 Mn |
| Dec 31, 2024 | 85.77 Mn |
| Sep 30, 2024 | 119.23 Mn |
| Jun 30, 2024 | 142.86 Mn |
| Mar 31, 2024 | 144.54 Mn |
| Dec 31, 2023 | 155.91 Mn |
| Sep 30, 2023 | 146.79 Mn |
| Jun 30, 2023 | 141.38 Mn |
| Mar 31, 2023 | 151.26 Mn |
| Dec 31, 2022 | 152.61 Mn |
| Sep 30, 2022 | 123.64 Mn |
| Jun 30, 2022 | 94.64 Mn |
| Mar 31, 2022 | 87.40 Mn |
| Dec 31, 2021 | 77.87 Mn |
| Sep 30, 2021 | 67.53 Mn |
CytomX Therapeutics Total 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-current-liabilities&ticker=CTMX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CTMX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();