Marker Therapeutics (MRKR) Total Current Liabilities (2010 - 2026)
Marker Therapeutics' Total Current Liabilities was $2.42 million in Q2 2026, down 43.4% from $4.28 million a year earlier and down 33.5% from the prior quarter.
Marker Therapeutics (MRKR) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Marker Therapeutics came in at $2.27 million, down 34.4% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -18.7% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $3.46 million in FY2024 (+12.7%), $3.07 million in FY2023 (-60.5%), $7.78 million in FY2022 (-39.7%) and $12.9 million in FY2021 (+101.5%).
- Quarterly Total Current Liabilities has moved between $1.97 million (Q2 2024) and $13.47 million (Q2 2022) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in five of the last eight quarters, with growth averaging 15.9%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2022 (growth of 138.1%); the worst was Q2 2023 (a decline of 78.3%).
- Per Business Quant data, MRKR's Total Current Liabilities in the three quarters before Q2 2026 was $3.64 million (Q1 2026), $2.27 million (Q4 2025) and $3.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Marker Therapeutics | 17.87 Mn | -42.04 Mn | - | 2.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Mn |
| Mar 31, 2026 | 3.64 Mn |
| Dec 31, 2025 | 2.27 Mn |
| Sep 30, 2025 | 3.35 Mn |
| Jun 30, 2025 | 4.28 Mn |
| Mar 31, 2025 | 2.50 Mn |
| Dec 31, 2024 | 3.46 Mn |
| Sep 30, 2024 | 3.46 Mn |
| Jun 30, 2024 | 1.97 Mn |
| Mar 31, 2024 | 2.30 Mn |
| Dec 31, 2023 | 3.07 Mn |
| Sep 30, 2023 | 2.78 Mn |
| Jun 30, 2023 | 2.92 Mn |
| Mar 31, 2023 | 5.20 Mn |
| Dec 31, 2022 | 7.78 Mn |
| Sep 30, 2022 | 11.29 Mn |
| Jun 30, 2022 | 13.47 Mn |
| Mar 31, 2022 | 8.21 Mn |
| Dec 31, 2021 | 12.90 Mn |
| Sep 30, 2021 | 8.23 Mn |
Marker 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=MRKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "MRKR", "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=MRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();