Nexentis Technologies (NXTS) Other Operating Expenses (2024 - 2026)
Nexentis Technologies (NXTS) reported Other Operating Expenses of -$139,000 for Q2 2026, compared with $224,000 a year earlier.
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Analysis
Nexentis Technologies (NXTS) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nexentis Technologies' Other Operating Expenses came in at $1 million, up 117.6% year-over-year; for FY2025, it was $1.14 million, up 160.0% from FY2024.
- By year, Other Operating Expenses came in at $437,000 in FY2024 (+10.4%) and $396,000 in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Other Operating Expenses in data going back to Q1 2024.
- Year over year, Other Operating Expenses gained in three of the last four quarters, with growth averaging 243.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Nexentis Technologies | 1.13 Mn | -21.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -139,000.00 |
| Dec 31, 2025 | 683,000.00 |
| Sep 30, 2025 | 235,000.00 |
| Jun 30, 2025 | 224,000.00 |
| Mar 31, 2025 | 62,000.00 |
| Dec 31, 2024 | 75,000.00 |
| Sep 30, 2024 | 100,000.00 |
| Jun 30, 2024 | 119,000.00 |
| Mar 31, 2024 | 158,000.00 |
API Access
Nexentis Technologies Other 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=other-operating-expenses&ticker=NXTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=NXTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();