Neumora Therapeutics (NMRA) Operating Expenses (2022 - 2026)
Neumora Therapeutics (NMRA) reported Operating Expenses of $42.19 million for Q2 2026, down 21.9% from $54.04 million a year earlier and down 20.2% from the prior quarter.
Neumora Therapeutics (NMRA) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Neumora Therapeutics' Operating Expenses came in at $211.23 million, down 20.2% year-over-year; for FY2025, it came in at $241.16 million, down 8.5% from FY2024.
- Operating Expenses has a three-year compound annual growth rate of 21.1% (FY2022 to FY2025).
- By year, Operating Expenses came in at $263.46 million in FY2024 (+4.5%), $252.1 million in FY2023 (+85.5%) and $135.87 million in FY2022.
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q2 2023.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with an average decline of 10.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 271.1%); the low point was Q4 2024 (a decline of 44.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $52.86 million (Q1 2026), $58.48 million (Q4 2025) and $57.7 million (Q3 2025).
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 | Neumora Therapeutics | 129.65 Mn | 129.65 Mn | - | 42.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.19 Mn |
| Mar 31, 2026 | 52.86 Mn |
| Dec 31, 2025 | 58.48 Mn |
| Sep 30, 2025 | 57.70 Mn |
| Jun 30, 2025 | 54.04 Mn |
| Mar 31, 2025 | 70.94 Mn |
| Dec 31, 2024 | 62.92 Mn |
| Sep 30, 2024 | 76.65 Mn |
| Jun 30, 2024 | 63.82 Mn |
| Mar 31, 2024 | 60.07 Mn |
| Dec 31, 2023 | 114.00 Mn |
| Sep 30, 2023 | 56.86 Mn |
| Jun 30, 2023 | 42.06 Mn |
| Mar 31, 2023 | 39.17 Mn |
| Dec 31, 2022 | 30.72 Mn |
| Sep 30, 2022 | 30.60 Mn |
Neumora 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=NMRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NMRA", "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=NMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();