NRX Pharmaceuticals (NRXP) Operating Expenses (2017 - 2026)
NRX Pharmaceuticals' Operating Expenses was $7.61 million in Q2 2026, up 103.9% from $3.73 million a year earlier and up 30.9% from the prior quarter.
NRX Pharmaceuticals (NRXP) Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, NRX Pharmaceuticals' Operating Expenses was $23.29 million through Jun 30, 2026, up 78.7% year-over-year; for FY2025, it was $17.45 million, down 5.7% from FY2024.
- Operating Expenses has now declined for four consecutive years, with a five-year compound annual growth rate of -19.4% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $18.5 million in FY2024 (-33.5%), $27.84 million in FY2023 (-37.2%), $44.34 million in FY2022 (-61.7%) and $115.8 million in FY2021 (+125.3%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2023.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 18.9% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 290.3%); the worst was Q4 2022 (a decline of 81.3%).
- Per Business Quant data, NRXP's Operating Expenses in the three quarters before Q2 2026 was $5.81 million (Q1 2026), $5.61 million (Q4 2025) and $4.27 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 | NRX Pharmaceuticals | 126.02 Mn | 77.61 Mn | 426,000.00 | 7.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.61 Mn |
| Mar 31, 2026 | 5.81 Mn |
| Dec 31, 2025 | 5.61 Mn |
| Sep 30, 2025 | 4.27 Mn |
| Jun 30, 2025 | 3.73 Mn |
| Mar 31, 2025 | 3.85 Mn |
| Dec 31, 2024 | 2.43 Mn |
| Sep 30, 2024 | 3.02 Mn |
| Jun 30, 2024 | 7.05 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 4.41 Mn |
| Sep 30, 2023 | 5.81 Mn |
| Jun 30, 2023 | 8.19 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Dec 31, 2022 | 9.89 Mn |
| Sep 30, 2022 | 9.14 Mn |
| Jun 30, 2022 | 9.60 Mn |
| Mar 31, 2022 | 15.71 Mn |
| Dec 31, 2021 | 52.98 Mn |
| Sep 30, 2021 | 20.10 Mn |
NRX Pharmaceuticals 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=NRXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NRXP", "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=NRXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();