Nexalin Technology (NXL) Operating Expenses (2021 - 2026)
Nexalin Technology (NXL) posted Operating Expenses of $2.26 million for Q2 2026, up 35.2% from $1.67 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Nexalin Technology (NXL) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Nexalin Technology was $9.31 million, up 2.0% year-over-year; for FY2025, it was $8.63 million, up 9.4% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a four-year compound annual growth rate of 8.9% (FY2021 to FY2025).
- In prior years, Nexalin Technology's Operating Expenses was $7.89 million in FY2024 (+36.4%), $5.78 million in FY2023 (+107.1%), $2.79 million in FY2022 (-54.6%) and $6.14 million in FY2021.
- Quarterly Operating Expenses has run from a low of $602,494 in Q4 2021 to a high of $2.9 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 25.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2023, with growth of 274.0%; the weakest was Q3 2022, with a decline of 64.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.13 million (Q1 2026), $2.56 million (Q4 2025) and $2.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Nexalin Technology | 3.09 Mn | -8.70 Mn | 8,897.00 | 2.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.26 Mn |
| Mar 31, 2026 | 2.13 Mn |
| Dec 31, 2025 | 2.56 Mn |
| Sep 30, 2025 | 2.36 Mn |
| Jun 30, 2025 | 1.67 Mn |
| Mar 31, 2025 | 2.04 Mn |
| Dec 31, 2024 | 2.90 Mn |
| Sep 30, 2024 | 2.53 Mn |
| Jun 30, 2024 | 1.32 Mn |
| Mar 31, 2024 | 1.14 Mn |
| Dec 31, 2023 | 1.64 Mn |
| Sep 30, 2023 | 2.44 Mn |
| Jun 30, 2023 | 903,026.00 |
| Mar 31, 2023 | 802,876.00 |
| Dec 31, 2022 | 751,174.00 |
| Sep 30, 2022 | 651,219.00 |
| Jun 30, 2022 | 736,359.00 |
| Mar 31, 2022 | 652,424.00 |
| Dec 31, 2021 | 602,494.00 |
| Sep 30, 2021 | 1.84 Mn |
API Access
Nexalin Technology 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=NXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NXL", "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=NXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();