Marker Therapeutics (MRKR) Depreciation & Amortization (CF) (2019 - 2023)
Marker Therapeutics (MRKR) posted Depreciation & Amortization (CF) of $818,216 for Q1 2023, up 42.0% from $576,331 a year earlier and up 0.6% from the prior quarter.
Marker Therapeutics (MRKR) Depreciation & Amortization (CF) (2019 - 2023) Analysis & Trends
For the trailing twelve months through Mar 31, 2023, Depreciation & Amortization (CF) at Marker Therapeutics was $3.03 million, up 36.4% year-over-year; for FY2022, it came in at $2.79 million, up 29.8% from FY2021.
- Annual Depreciation & Amortization (CF) has increased for three consecutive years, with a three-year compound annual growth rate of 198.3% (FY2019 to FY2022).
- In prior years, Marker Therapeutics' Depreciation & Amortization (CF) was $2.15 million in FY2021 (+342.5%), $485,641 in FY2020 (+362.0%) and $105,123 in FY2019.
- Quarterly Depreciation & Amortization (CF) has run from a low of $10,514 in Q1 2019 to a high of $819,883 in Q3 2022 over five years.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased in each of the last eight quarters, with growth averaging 136.2% over the last eight quarters.
- The year-over-year growth in Depreciation & Amortization (CF) has ranged between 9.3% (Q2 2022) and 522.3% (Q4 2020) over the last five years.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $813,110 (Q4 2022), $819,883 (Q3 2022) and $579,782 (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,141.09 Bn | 1,109.67 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 635.15 Bn | 555.01 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 501.95 Bn | 475.07 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.40 Bn | 310.78 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 300.55 Bn | 264.54 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 263.27 Bn | 236.95 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 237.82 Bn | 193.22 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 194.11 Bn | 168.30 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 170.27 Bn | 116.91 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Marker Therapeutics | 20.60 Mn | -39.31 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 818,216.00 |
| Dec 31, 2022 | 813,110.00 |
| Sep 30, 2022 | 819,883.00 |
| Jun 30, 2022 | 579,782.00 |
| Mar 31, 2022 | 576,331.00 |
| Dec 31, 2021 | 564,488.00 |
| Sep 30, 2021 | 551,524.00 |
| Jun 30, 2021 | 530,228.00 |
| Mar 31, 2021 | 502,743.00 |
| Dec 31, 2020 | 212,916.00 |
| Sep 30, 2020 | 148,098.00 |
| Jun 30, 2020 | 89,362.00 |
| Mar 31, 2020 | 35,265.00 |
| Dec 31, 2019 | 34,215.00 |
| Sep 30, 2019 | 31,097.00 |
| Jun 30, 2019 | 29,297.00 |
| Mar 31, 2019 | 10,514.00 |
Marker Therapeutics Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=MRKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=MRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();