Ernexa Therapeutics (ERNA) Operating Expenses (2009 - 2026)
Ernexa Therapeutics (ERNA) posted Operating Expenses of $4.1 million for Q2 2026, up 64.1% from $2.5 million a year earlier but down 26.6% from the prior quarter.
Ernexa Therapeutics (ERNA) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Ernexa Therapeutics was $13.78 million, up 28.4% year-over-year; for FY2025, it came in at $9.32 million, down 42.3% from FY2024.
- Annual Operating Expenses has declined for four consecutive years, though with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Ernexa Therapeutics' Operating Expenses was $16.16 million in FY2024 (-22.9%), $20.97 million in FY2023 (-36.9%), $33.22 million in FY2022 (-70.8%) and $113.73 million in FY2021.
- Quarterly Operating Expenses has run from a low of $1.99 million in Q3 2025 to a high of $86.28 million in Q3 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 10.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 286.2%; the weakest was Q3 2022, with a decline of 90.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $5.59 million (Q1 2026), $2.09 million (Q4 2025) and $1.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Ernexa Therapeutics | 3.31 Mn | -18.41 Mn | - | 2.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.99 Mn |
| Jun 30, 2026 | 4.10 Mn |
| Mar 31, 2026 | 5.59 Mn |
| Dec 31, 2025 | 2.09 Mn |
| Sep 30, 2025 | 1.99 Mn |
| Jun 30, 2025 | 2.50 Mn |
| Mar 31, 2025 | 2.73 Mn |
| Dec 31, 2024 | 2.70 Mn |
| Sep 30, 2024 | 2.81 Mn |
| Jun 30, 2024 | 4.88 Mn |
| Mar 31, 2024 | 5.77 Mn |
| Dec 31, 2023 | 5.72 Mn |
| Sep 30, 2023 | 5.44 Mn |
| Jun 30, 2023 | 4.55 Mn |
| Mar 31, 2023 | 5.27 Mn |
| Dec 31, 2022 | 4.74 Mn |
| Sep 30, 2022 | 8.30 Mn |
| Jun 30, 2022 | 13.88 Mn |
| Mar 31, 2022 | 6.30 Mn |
| Dec 31, 2021 | 8.52 Mn |
Ernexa 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=ERNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ERNA", "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=ERNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();