Nexentis Technologies (NXTS) EBIT (2019 - 2026)
Nexentis Technologies' EBIT was -$1.88 million in Q2 2026, compared with -$2.63 million a year earlier.
Nexentis Technologies (NXTS) EBIT (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nexentis Technologies' EBIT was -$5.28 million through Jun 30, 2026; for FY2025, it came in at -$4.23 million.
- In earlier years, EBIT was -$3.28 million in FY2024, -$7.58 million in FY2023, -$5.82 million in FY2022 and -$4.7 million in FY2021.
- Quarterly EBIT has moved between -$2.86 million (Q3 2023) and $549,000 (Q4 2025) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 7.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 6.43 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -584.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 3.16 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 3.51 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -10.39 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 4.27 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.25 Bn |
| 10 | Nexentis Technologies | 1.20 Mn | -21.57 Mn | - | -1.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.88 Mn |
| Dec 31, 2025 | 549,000.00 |
| Sep 30, 2025 | -1.33 Mn |
| Jun 30, 2025 | -2.63 Mn |
| Mar 31, 2025 | -619,000.00 |
| Dec 31, 2024 | -219,000.00 |
| Sep 30, 2024 | -1.44 Mn |
| Jun 30, 2024 | -847,000.00 |
| Mar 31, 2024 | -899,000.00 |
| Dec 31, 2023 | -2.14 Mn |
| Sep 30, 2023 | -2.86 Mn |
| Jun 30, 2023 | -840,318.00 |
| Mar 31, 2023 | -1.74 Mn |
| Dec 31, 2022 | -1.43 Mn |
| Sep 30, 2022 | -1.77 Mn |
| Jun 30, 2022 | -1.28 Mn |
| Mar 31, 2022 | -1.35 Mn |
| Dec 31, 2021 | -1.57 Mn |
| Sep 30, 2021 | -1.29 Mn |
| Jun 30, 2021 | -1.62 Mn |
Nexentis Technologies EBIT 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=ebit&ticker=NXTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=NXTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();