Marker Therapeutics (MRKR) Total Non-Current Liabilities (2011 - 2023)
Marker Therapeutics (MRKR) recorded Total Non-Current Liabilities of $2.92 million in Q2 2023, down 73.0% from $10.82 million a year earlier and down 57.2% from the prior quarter.
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Analysis
Marker Therapeutics (MRKR) Total Non-Current Liabilities (2011 - 2023) Analysis & Trends
At the end of FY2022, Marker Therapeutics reported Total Non-Current Liabilities of $7.04 million, down 37.4% from FY2021.
- Annual Total Non-Current Liabilities has a three-year compound annual growth rate of 192.9% (FY2019 to FY2022).
- Across earlier years, Total Non-Current Liabilities came in at $11.25 million in FY2021 (-5.2%), $11.87 million in FY2020 and $280,247 in FY2019.
- The Q2 2023 figure is the lowest quarterly Total Non-Current Liabilities since Q1 2020.
- On a year-over-year basis, Total Non-Current Liabilities has declined for eight consecutive quarters, with an average decline of 25.9% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 28.2% in Q2 2021, against a decline of 73.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.82 million (Q1 2023), $7.04 million (Q4 2022) and $7.23 million (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Marker Therapeutics | 17.87 Mn | -42.04 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 2.92 Mn |
| Mar 31, 2023 | 6.82 Mn |
| Dec 31, 2022 | 7.04 Mn |
| Sep 30, 2022 | 7.23 Mn |
| Jun 30, 2022 | 10.82 Mn |
| Mar 31, 2022 | 11.04 Mn |
| Dec 31, 2021 | 11.25 Mn |
| Sep 30, 2021 | 11.43 Mn |
| Jun 30, 2021 | 11.57 Mn |
| Mar 31, 2021 | 11.72 Mn |
| Dec 31, 2020 | 11.87 Mn |
| Sep 30, 2020 | 11.95 Mn |
| Jun 30, 2020 | 9.03 Mn |
| Mar 31, 2020 | 226,111.00 |
| Dec 31, 2019 | 280,247.00 |
| Sep 30, 2019 | 333,480.00 |
| Jun 30, 2019 | 385,169.00 |
| Mar 31, 2019 | 435,192.00 |
| Dec 31, 2015 | 11.17 Mn |
| Mar 31, 2013 | 4.49 Mn |
API Access
Marker 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=MRKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=MRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();