NextPlat (NXPL) Accumulated Expenses (2019 - 2023)
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Analysis
NextPlat (NXPL) Accumulated Expenses (2019 - 2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn |
| 10 | NextPlat | 23.29 Mn | -27.29 Mn | 4.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 265.00 |
| Jun 30, 2023 | 299.00 |
| Dec 31, 2022 | 356.00 |
| Sep 30, 2022 | 314.00 |
| Jun 30, 2022 | 381.00 |
| Dec 31, 2021 | 138.00 |
| Sep 30, 2021 | 138.00 |
| Jun 30, 2021 | 121,476.00 |
| Mar 31, 2021 | 112,396.00 |
| Dec 31, 2020 | 99,982.00 |
| Sep 30, 2020 | 80,481.00 |
| Jun 30, 2020 | 62,448.00 |
| Mar 31, 2020 | 51,466.00 |
| Dec 31, 2019 | 35,462.00 |
| Sep 30, 2019 | 21,458.00 |
| Jun 30, 2019 | 7,911.00 |
API Access
NextPlat Accumulated 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=accumulated-expenses&ticker=NXPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NXPL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=NXPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();