Neonode (NEON) Operating Expenses (2010 - 2026)
Neonode (NEON) posted Operating Expenses of $2.79 million for Q2 2026, up 3.2% from $2.7 million a year earlier and up 4.0% from the prior quarter.
Neonode (NEON) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Neonode was $10.47 million, up 10.0% year-over-year; for FY2025, it came in at $10.18 million, up 6.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In prior years, Neonode's Operating Expenses was $9.54 million in FY2024 (-0.2%), $9.55 million in FY2023 (-5.9%), $10.15 million in FY2022 (-15.3%) and $11.99 million in FY2021 (+8.0%).
- Quarterly Operating Expenses has run from a low of $2.04 million in Q3 2024 to a high of $2.99 million in Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 3.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 24.9%; the weakest was Q3 2022, with a decline of 21.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.68 million (Q1 2026), $2.88 million (Q4 2025) and $2.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 499.67 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 541.37 Mn |
| 10 | Neonode | 13.36 Mn | -68.14 Mn | 468,000.00 | 2.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.79 Mn |
| Mar 31, 2026 | 2.68 Mn |
| Dec 31, 2025 | 2.88 Mn |
| Sep 30, 2025 | 2.12 Mn |
| Jun 30, 2025 | 2.70 Mn |
| Mar 31, 2025 | 2.47 Mn |
| Dec 31, 2024 | 2.31 Mn |
| Sep 30, 2024 | 2.04 Mn |
| Jun 30, 2024 | 2.57 Mn |
| Mar 31, 2024 | 2.70 Mn |
| Dec 31, 2023 | 2.52 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 2.79 Mn |
| Mar 31, 2023 | 2.78 Mn |
| Dec 31, 2022 | 2.56 Mn |
| Sep 30, 2022 | 2.10 Mn |
| Jun 30, 2022 | 2.84 Mn |
| Mar 31, 2022 | 2.65 Mn |
| Dec 31, 2021 | 2.99 Mn |
| Sep 30, 2021 | 2.69 Mn |
Neonode 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=NEON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NEON", "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=NEON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();