Nexentis Technologies (NXTS) Operating Expenses (2019 - 2026)
Nexentis Technologies (NXTS) recorded Operating Expenses of -$737,000 in Q2 2026, compared with -$59,000 a year earlier.
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Analysis
Nexentis Technologies (NXTS) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Nexentis Technologies' Operating Expenses came in at $1.09 million as of Jun 30, 2026, down 59.4% year-over-year; for FY2025, it was -$340,000.
- Across earlier years, Operating Expenses came in at $3.65 million in FY2024 (-51.4%), $7.51 million in FY2023 (+36.9%), $5.49 million in FY2022 (+14.2%) and $4.81 million in FY2021 (+223.1%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses in data going back to Q1 2019.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 440.6% in Q4 2021, against a decline of 63.3% in Q4 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Nexentis Technologies | 1.20 Mn | -21.57 Mn | - | -737,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -737,000.00 |
| Dec 31, 2025 | 590,000.00 |
| Sep 30, 2025 | 1.29 Mn |
| Jun 30, 2025 | -59,000.00 |
| Mar 31, 2025 | 624,000.00 |
| Dec 31, 2024 | 808,000.00 |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 801,000.00 |
| Mar 31, 2024 | 858,000.00 |
| Dec 31, 2023 | 2.20 Mn |
| Sep 30, 2023 | 2.80 Mn |
| Jun 30, 2023 | 761,144.00 |
| Mar 31, 2023 | 1.75 Mn |
| Dec 31, 2022 | 1.45 Mn |
| Sep 30, 2022 | 1.68 Mn |
| Jun 30, 2022 | 1.15 Mn |
| Mar 31, 2022 | 1.21 Mn |
| Dec 31, 2021 | 1.60 Mn |
| Sep 30, 2021 | 1.24 Mn |
| Jun 30, 2021 | 1.65 Mn |
API Access
Nexentis Technologies Operating 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=operating-expenses&ticker=NXTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NXTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();