Ceva (CEVA) Accumulated Expenses (2013 - 2026)
Ceva (CEVA) posted Accumulated Expenses of $4.39 million for Q2 2026, down 7.8% from $4.76 million a year earlier but up 2.1% from the prior quarter.
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Analysis
Ceva (CEVA) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Ceva's Accumulated Expenses came in at $5.18 million, down 17.0% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Ceva's Accumulated Expenses was $6.24 million in FY2024 (+7.6%), $5.8 million in FY2023 (-11.4%), $6.55 million in FY2022 (+62.4%) and $4.03 million in FY2021 (+4.9%).
- Quarterly Accumulated Expenses has run from a low of $4.03 million in Q4 2021 to a high of $7.28 million in Q1 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last five quarters, with an average decline of 6.6% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 76.4%; the weakest was Q1 2024, with a decline of 31.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $4.3 million (Q1 2026), $5.18 million (Q4 2025) and $5.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn |
| 10 | Ceva | 834.28 Mn | 39.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.39 Mn |
| Mar 31, 2026 | 4.30 Mn |
| Dec 31, 2025 | 5.18 Mn |
| Sep 30, 2025 | 5.24 Mn |
| Jun 30, 2025 | 4.76 Mn |
| Mar 31, 2025 | 5.51 Mn |
| Dec 31, 2024 | 6.24 Mn |
| Sep 30, 2024 | 6.01 Mn |
| Jun 30, 2024 | 6.05 Mn |
| Mar 31, 2024 | 4.98 Mn |
| Dec 31, 2023 | 5.80 Mn |
| Sep 30, 2023 | 5.46 Mn |
| Jun 30, 2023 | 5.56 Mn |
| Mar 31, 2023 | 7.28 Mn |
| Dec 31, 2022 | 6.55 Mn |
| Sep 30, 2022 | 5.94 Mn |
| Jun 30, 2022 | 5.40 Mn |
| Mar 31, 2022 | 4.13 Mn |
| Dec 31, 2021 | 4.03 Mn |
| Sep 30, 2021 | 4.38 Mn |
API Access
Ceva 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=CEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CEVA", "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=CEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();