Ceva (CEVA) Total Liabilities (2010 - 2026)
Ceva (CEVA) recorded Total Liabilities of $51.64 million in Q2 2026, up 39.8% from $36.95 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Ceva (CEVA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ceva reported Total Liabilities of $51.8 million, up 22.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $42.39 million in FY2024 (+6.7%), $39.74 million in FY2023 (-19.8%), $49.57 million in FY2022 (-4.5%) and $51.93 million in FY2021 (+12.7%).
- Quarterly Total Liabilities has ranged from $36.62 million in Q2 2024 to $56.96 million in Q1 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 39.8% in Q2 2026, against a decline of 23.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $50.04 million (Q1 2026), $51.8 million (Q4 2025) and $37.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,356.19 Bn | 5,130.35 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,231.60 Bn | 1,856.46 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,614.10 Bn | 1,540.15 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,034.97 Bn | 940.61 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 904.42 Bn | 861.17 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 652.25 Bn | 607.94 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 472.91 Bn | 342.04 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 327.90 Bn | 304.70 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 324.95 Bn | 290.39 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Ceva | 841.84 Mn | 46.57 Mn | - | 51.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.64 Mn |
| Mar 31, 2026 | 50.04 Mn |
| Dec 31, 2025 | 51.80 Mn |
| Sep 30, 2025 | 37.30 Mn |
| Jun 30, 2025 | 36.95 Mn |
| Mar 31, 2025 | 40.86 Mn |
| Dec 31, 2024 | 42.39 Mn |
| Sep 30, 2024 | 39.12 Mn |
| Jun 30, 2024 | 36.62 Mn |
| Mar 31, 2024 | 39.09 Mn |
| Dec 31, 2023 | 39.74 Mn |
| Sep 30, 2023 | 39.29 Mn |
| Jun 30, 2023 | 41.69 Mn |
| Mar 31, 2023 | 51.26 Mn |
| Dec 31, 2022 | 49.57 Mn |
| Sep 30, 2022 | 42.52 Mn |
| Jun 30, 2022 | 45.69 Mn |
| Mar 31, 2022 | 56.96 Mn |
| Dec 31, 2021 | 51.93 Mn |
| Sep 30, 2021 | 47.97 Mn |
API Access
Ceva Total Liabilities 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=total-liabilities&ticker=CEVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CEVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();