Arteris (AIP) Total Liabilities (2020 - 2026)
Arteris' Total Liabilities came in at $157.04 million for Q2 2026, up 37.3% from $114.41 million a year earlier and up 14.4% from the prior quarter.
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Analysis
Arteris (AIP) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Arteris' Total Liabilities was $129.66 million, up 20.8% from FY2024.
- Total Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $107.32 million in FY2024 (+22.4%), $87.7 million in FY2023 (+12.5%), $77.98 million in FY2022 (+15.5%) and $67.54 million in FY2021 (+23.4%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2020.
- Year-over-year, Total Liabilities has increased for 16 consecutive quarters, with growth averaging 24.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 2.1% (Q3 2023) to 37.3% (Q2 2026).
- Business Quant data shows AIP's Total Liabilities at $137.29 million (Q1 2026), $129.66 million (Q4 2025) and $119.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Arteris | 1.13 Bn | 880.33 Mn | 20.53 Mn | 157.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.04 Mn |
| Mar 31, 2026 | 137.29 Mn |
| Dec 31, 2025 | 129.66 Mn |
| Sep 30, 2025 | 119.19 Mn |
| Jun 30, 2025 | 114.41 Mn |
| Mar 31, 2025 | 103.14 Mn |
| Dec 31, 2024 | 107.32 Mn |
| Sep 30, 2024 | 95.51 Mn |
| Jun 30, 2024 | 91.10 Mn |
| Mar 31, 2024 | 91.81 Mn |
| Dec 31, 2023 | 87.70 Mn |
| Sep 30, 2023 | 80.14 Mn |
| Jun 30, 2023 | 79.91 Mn |
| Mar 31, 2023 | 75.53 Mn |
| Dec 31, 2022 | 77.98 Mn |
| Sep 30, 2022 | 78.47 Mn |
| Jun 30, 2022 | 75.44 Mn |
| Mar 31, 2022 | 64.71 Mn |
| Dec 31, 2021 | 67.54 Mn |
| Sep 30, 2021 | 61.29 Mn |
API Access
Arteris 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=AIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AIP", "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=AIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();