Nexentis Technologies (NXTS) Selling, General & Administrative (2019 - 2026)
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Analysis
Nexentis Technologies (NXTS) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Nexentis Technologies | 2.04 Mn | -23.39 Mn | - | 1.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Mn |
| Dec 31, 2025 | 492,000.00 |
| Sep 30, 2025 | 1.24 Mn |
| Jun 30, 2025 | 2.63 Mn |
| Mar 31, 2025 | 604,000.00 |
| Dec 31, 2024 | 477,000.00 |
| Sep 30, 2024 | 1.28 Mn |
| Jun 30, 2024 | 795,000.00 |
| Mar 31, 2024 | 742,000.00 |
| Dec 31, 2023 | 2.09 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 744,287.00 |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 1.20 Mn |
| Sep 30, 2022 | 1.48 Mn |
| Jun 30, 2022 | 1.04 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 1.42 Mn |
| Sep 30, 2021 | 1.17 Mn |
| Jun 30, 2021 | 1.42 Mn |
API Access
Nexentis Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=NXTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NXTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=NXTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();