Arteris (AIP) Total Non-Current Liabilities (2020 - 2026)
Arteris' Total Non-Current Liabilities was $154.41 million in Q2 2026, up 37.2% from $112.53 million a year earlier and up 14.5% from the prior quarter.
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Analysis
Arteris (AIP) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Arteris came in at $127.19 million, up 20.4% from FY2024.
- Total Non-Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $105.68 million in FY2024 (+23.9%), $85.29 million in FY2023 (+10.8%), $76.96 million in FY2022 (+17.7%) and $65.38 million in FY2021 (+26.3%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 16 straight quarters, with growth averaging 24.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 1.4% (Q3 2023) to 37.2% (Q2 2026).
- Per Business Quant data, AIP's Total Non-Current Liabilities in the three quarters before Q2 2026 was $134.82 million (Q1 2026), $127.19 million (Q4 2025) and $117.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 10.35 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 16.48 Bn |
| 10 | Arteris | 1.13 Bn | 880.33 Mn | 20.53 Mn | 154.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.41 Mn |
| Mar 31, 2026 | 134.82 Mn |
| Dec 31, 2025 | 127.19 Mn |
| Sep 30, 2025 | 117.21 Mn |
| Jun 30, 2025 | 112.53 Mn |
| Mar 31, 2025 | 101.29 Mn |
| Dec 31, 2024 | 105.68 Mn |
| Sep 30, 2024 | 92.66 Mn |
| Jun 30, 2024 | 88.47 Mn |
| Mar 31, 2024 | 89.32 Mn |
| Dec 31, 2023 | 85.29 Mn |
| Sep 30, 2023 | 78.69 Mn |
| Jun 30, 2023 | 78.64 Mn |
| Mar 31, 2023 | 74.37 Mn |
| Dec 31, 2022 | 76.96 Mn |
| Sep 30, 2022 | 77.59 Mn |
| Jun 30, 2022 | 74.29 Mn |
| Mar 31, 2022 | 63.56 Mn |
| Dec 31, 2021 | 65.38 Mn |
| Sep 30, 2021 | 59.31 Mn |
API Access
Arteris Total Non-Current 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-non-current-liabilities&ticker=AIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();