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.
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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 | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | NRX Pharmaceuticals | 125.16 Mn | 76.75 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();