Marker Therapeutics (MRKR) Operating Expenses (2010 - 2026)
Marker Therapeutics (MRKR) posted Operating Expenses of $2.62 million for Q2 2026, down 48.8% from $5.12 million a year earlier and down 35.7% from the prior quarter.
Marker Therapeutics (MRKR) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Marker Therapeutics was $13.05 million, down 36.4% year-over-year; for FY2025, it came in at $16.44 million, down 7.2% from FY2024.
- Annual Operating Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -10.9% (FY2020 to FY2025).
- In prior years, Marker Therapeutics' Operating Expenses was $17.71 million in FY2024 (-1.0%), $17.89 million in FY2023 (-23.2%), $23.3 million in FY2022 (-42.8%) and $40.72 million in FY2021 (+38.7%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q2 2017.
- On a year-over-year basis, Operating Expenses has declined in each of the last four quarters, with growth averaging 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 53.0%; the weakest was Q4 2022, with a decline of 65.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.07 million (Q1 2026), $2.99 million (Q4 2025) and $3.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Marker Therapeutics | 17.87 Mn | -42.04 Mn | - | 2.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.62 Mn |
| Mar 31, 2026 | 4.07 Mn |
| Dec 31, 2025 | 2.99 Mn |
| Sep 30, 2025 | 3.37 Mn |
| Jun 30, 2025 | 5.12 Mn |
| Mar 31, 2025 | 4.96 Mn |
| Dec 31, 2024 | 6.11 Mn |
| Sep 30, 2024 | 4.33 Mn |
| Jun 30, 2024 | 3.48 Mn |
| Mar 31, 2024 | 3.79 Mn |
| Dec 31, 2023 | 3.99 Mn |
| Sep 30, 2023 | 3.46 Mn |
| Jun 30, 2023 | 4.90 Mn |
| Mar 31, 2023 | 5.54 Mn |
| Dec 31, 2022 | 3.80 Mn |
| Sep 30, 2022 | 6.83 Mn |
| Jun 30, 2022 | 6.06 Mn |
| Mar 31, 2022 | 10.76 Mn |
| Dec 31, 2021 | 11.01 Mn |
| Sep 30, 2021 | 10.02 Mn |
Marker Therapeutics Operating Expenses 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=operating-expenses&ticker=MRKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();