Neonode (NEON) Accumulated Expenses (2009 - 2026)
Neonode (NEON) posted Accumulated Expenses of $498,000 for Q2 2026, down 9.6% from $551,000 a year earlier but up 26.4% from the prior quarter.
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Analysis
Neonode (NEON) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Neonode's Accumulated Expenses came in at $459,000, up 13.6% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, though with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- In prior years, Neonode's Accumulated Expenses was $404,000 in FY2024 (+30.7%), $309,000 in FY2023 (+54.5%), $200,000 in FY2022 (-46.1%) and $371,000 in FY2021 (-31.9%).
- Quarterly Accumulated Expenses has run from a low of $142,000 in Q3 2024 to a high of $637,000 in Q3 2021 over five years.
- On a year-over-year basis, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 39.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2025, with growth of 166.2%; the weakest was Q3 2024, with a decline of 67.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $394,000 (Q1 2026), $459,000 (Q4 2025) and $248,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn |
| 10 | Neonode | 11.58 Mn | -69.92 Mn | 468,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 498,000.00 |
| Mar 31, 2026 | 394,000.00 |
| Dec 31, 2025 | 459,000.00 |
| Sep 30, 2025 | 248,000.00 |
| Jun 30, 2025 | 551,000.00 |
| Mar 31, 2025 | 439,000.00 |
| Dec 31, 2024 | 404,000.00 |
| Sep 30, 2024 | 142,000.00 |
| Jun 30, 2024 | 207,000.00 |
| Mar 31, 2024 | 205,000.00 |
| Dec 31, 2023 | 309,000.00 |
| Sep 30, 2023 | 431,000.00 |
| Jun 30, 2023 | 468,000.00 |
| Mar 31, 2023 | 464,000.00 |
| Dec 31, 2022 | 200,000.00 |
| Sep 30, 2022 | 316,000.00 |
| Jun 30, 2022 | 392,000.00 |
| Mar 31, 2022 | 397,000.00 |
| Dec 31, 2021 | 371,000.00 |
| Sep 30, 2021 | 637,000.00 |
API Access
Neonode Accumulated 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=accumulated-expenses&ticker=NEON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NEON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();