Matinas BioPharma Holdings (MTNB) Operating Expenses (2013 - 2026)
Matinas BioPharma Holdings' Operating Expenses came in at $1.56 million for Q2 2026, down 15.4% from $1.84 million a year earlier and down 19.7% from the prior quarter.
Matinas BioPharma Holdings (MTNB) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Matinas BioPharma Holdings reported Operating Expenses of $6.67 million, down 59.9% year-over-year; for FY2025, it was $6.96 million, down 71.7% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -22.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $24.59 million in FY2024 (-1.1%), $24.86 million in FY2023 (-10.5%), $27.78 million in FY2022 (+12.2%) and $24.77 million in FY2021 (+1.7%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2013.
- Year-over-year, Operating Expenses has declined for six consecutive quarters, with an average decline of 35.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 45.9%), and the weakest in Q4 2025 (a decline of 81.1%).
- Business Quant data shows MTNB's Operating Expenses at $1.94 million (Q1 2026), $1.6 million (Q4 2025) and $1.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Matinas BioPharma Holdings | 16.27 Mn | 3.68 Mn | - | 1.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.56 Mn |
| Mar 31, 2026 | 1.94 Mn |
| Dec 31, 2025 | 1.60 Mn |
| Sep 30, 2025 | 1.58 Mn |
| Jun 30, 2025 | 1.84 Mn |
| Mar 31, 2025 | 1.95 Mn |
| Dec 31, 2024 | 8.47 Mn |
| Sep 30, 2024 | 4.38 Mn |
| Jun 30, 2024 | 5.84 Mn |
| Mar 31, 2024 | 5.90 Mn |
| Dec 31, 2023 | 5.89 Mn |
| Sep 30, 2023 | 6.13 Mn |
| Jun 30, 2023 | 6.16 Mn |
| Mar 31, 2023 | 6.68 Mn |
| Dec 31, 2022 | 6.54 Mn |
| Sep 30, 2022 | 6.53 Mn |
| Jun 30, 2022 | 6.99 Mn |
| Mar 31, 2022 | 7.72 Mn |
| Dec 31, 2021 | 6.71 Mn |
| Sep 30, 2021 | 6.88 Mn |
Matinas BioPharma Holdings 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=MTNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MTNB", "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=MTNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();