Marker Therapeutics (MRKR) Non-Current Assets (2010 - 2023)
Marker Therapeutics (MRKR) posted Non-Current Assets of $17.03 million for Q1 2023, down 28.9% from $23.94 million a year earlier and down 4.4% from the prior quarter.
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Analysis
Marker Therapeutics (MRKR) Non-Current Assets (2010 - 2023) Analysis & Trends
At the end of FY2022, Marker Therapeutics' Non-Current Assets came in at $17.8 million, down 19.6% from FY2021.
- Annual Non-Current Assets shows a four-year compound annual growth rate of 231.4% (FY2018 to FY2022).
- In prior years, Marker Therapeutics' Non-Current Assets was $22.15 million in FY2021 (+4.5%), $21.2 million in FY2020, $872,702 in FY2019 (+491.0%) and $147,668 in FY2018.
- The Q1 2023 figure stands as the lowest quarterly Non-Current Assets since Q2 2020.
- On a year-over-year basis, Non-Current Assets has declined in each of the last three quarters, with growth averaging 4.4% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2019, with growth of 491.0%; the weakest was Q1 2023, with a decline of 28.9%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $17.8 million (Q4 2022), $18.69 million (Q3 2022) and $23.04 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Marker Therapeutics | 17.87 Mn | -42.04 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 17.03 Mn |
| Dec 31, 2022 | 17.80 Mn |
| Sep 30, 2022 | 18.69 Mn |
| Jun 30, 2022 | 23.04 Mn |
| Mar 31, 2022 | 23.94 Mn |
| Dec 31, 2021 | 22.15 Mn |
| Sep 30, 2021 | 20.53 Mn |
| Jun 30, 2021 | 20.45 Mn |
| Mar 31, 2021 | 20.89 Mn |
| Dec 31, 2020 | 21.20 Mn |
| Sep 30, 2020 | 18.25 Mn |
| Jun 30, 2020 | 13.76 Mn |
| Mar 31, 2020 | 889,897.00 |
| Dec 31, 2019 | 872,702.00 |
| Sep 30, 2019 | 940,595.00 |
| Jun 30, 2019 | 960,694.00 |
| Mar 31, 2019 | 952,702.00 |
| Dec 31, 2018 | 147,668.00 |
| Sep 30, 2012 | 20,768.00 |
| Jun 30, 2012 | 24,637.00 |
API Access
Marker Therapeutics Non-Current Assets 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=non-current-assets&ticker=MRKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();