NRX Pharmaceuticals (NRXP) Revenue (2017 - 2026)
NRX Pharmaceuticals' Revenue was $1.1 million in Q2 2026, up 0.1% from the prior quarter.
Analysis
NRX Pharmaceuticals (NRXP) Revenue (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, NRX Pharmaceuticals' Revenue was $3.43 million through Jun 30, 2026; for FY2025, it was $1.23 million.
- Per Business Quant data, NRXP's Revenue in the three quarters before Q2 2026 was $1.1 million (Q1 2026), $983,000 (Q4 2025) and $242,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,143.62 Bn | 1,112.20 Bn | 19.71 Bn | 22.97 Bn |
| 2 | Johnson & Johnson | 635.32 Bn | 555.18 Bn | 17.30 Bn | 25.40 Bn |
| 3 | AbbVie | 501.71 Bn | 474.82 Bn | 12.70 Bn | 16.99 Bn |
| 4 | Merck | 356.04 Bn | 310.42 Bn | 12.21 Bn | 16.61 Bn |
| 5 | Novartis Ag | 300.80 Bn | 264.79 Bn | 11.24 Bn | 14.41 Bn |
| 6 | Astrazeneca | 263.31 Bn | 237.00 Bn | 12.86 Bn | 15.38 Bn |
| 7 | Amgen | 238.70 Bn | 194.10 Bn | 7.24 Bn | 10.05 Bn |
| 8 | Gilead Sciences | 194.80 Bn | 169.00 Bn | 6.22 Bn | 7.80 Bn |
| 9 | Pfizer | 170.88 Bn | 117.53 Bn | 10.94 Bn | 15.03 Bn |
| 10 | NRX Pharmaceuticals | 86.97 Mn | 38.56 Mn | 426,000.00 | 1.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Mn |
| Mar 31, 2026 | 1.10 Mn |
| Dec 31, 2025 | 983,000.00 |
| Sep 30, 2025 | 242,000.00 |
| Mar 31, 2021 | 88.00 |
| Dec 31, 2020 | 111.00 |
| Sep 30, 2020 | 559.00 |
| Jun 30, 2020 | 25,017.00 |
| Mar 31, 2020 | 113,077.00 |
| Dec 31, 2019 | 172,283.00 |
| Sep 30, 2019 | 258,236.00 |
| Jun 30, 2019 | 392,439.00 |
| Mar 31, 2019 | 382,862.00 |
| Sep 30, 2018 | 283,390.00 |
| Jun 30, 2018 | 272,482.00 |
| Mar 31, 2018 | 213,569.00 |
| Dec 31, 2017 | 34,183.00 |
API Access
NRX Pharmaceuticals Revenue 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=revenue&ticker=NRXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=NRXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();