NRX Pharmaceuticals (NRXP) Return on Capital Employed [ROCE] (2018 - 2023)
NRX Pharmaceuticals' Return on Capital Employed [ROCE] was -1872.90% in Q1 2023, down 1417.49 percentage points from the prior quarter.
Powered by 
Analysis
NRX Pharmaceuticals (NRXP) Return on Capital Employed [ROCE] (2018 - 2023) Analysis & Trends
For FY2022, Return on Capital Employed [ROCE] at NRX Pharmaceuticals came in at -323.91%, up 1634.72 percentage points from FY2021.
- Return on Capital Employed [ROCE] shows a four-year change of -322.47 percentage points (FY2018 to FY2022).
- In earlier years, Return on Capital Employed [ROCE] was -1958.63% in FY2021, -1.40% in FY2019 (+0.04 pp) and -1.44% in FY2018.
- The Q1 2023 figure marks the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | NRX Pharmaceuticals | 101.85 Mn | 53.44 Mn | 426,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -1,872.90% |
| Dec 31, 2022 | -455.41% |
| Dec 31, 2021 | -427.82% |
| Sep 30, 2020 | -92.72% |
| Jun 30, 2020 | -6.50% |
| Mar 31, 2020 | -3.55% |
| Dec 31, 2019 | -1.97% |
| Sep 30, 2019 | -1.64% |
| Jun 30, 2019 | -1.38% |
| Mar 31, 2019 | -1.20% |
| Sep 30, 2018 | -1.18% |
API Access
NRX Pharmaceuticals Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=NRXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=NRXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();