Arteris (AIP) Total Current Liabilities (2020 - 2026)
Arteris' Total Current Liabilities came in at $93.35 million for Q2 2026, up 49.2% from $62.56 million a year earlier and up 10.4% from the prior quarter.
Arteris (AIP) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Arteris' Total Current Liabilities was $73.2 million, up 23.5% from FY2024.
- Total Current Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $59.28 million in FY2024 (+27.8%), $46.4 million in FY2023 (+6.3%), $43.67 million in FY2022 (+2.8%) and $42.49 million in FY2021 (+50.5%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Current Liabilities has increased for 16 consecutive quarters, with growth averaging 28.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 1.3% (Q1 2023) to 50.5% (Q4 2021).
- Business Quant data shows AIP's Total Current Liabilities at $84.52 million (Q1 2026), $73.2 million (Q4 2025) and $66.77 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 58.78 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 19.49 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 28.24 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Arteris | 1.13 Bn | 880.33 Mn | 20.53 Mn | 93.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.35 Mn |
| Mar 31, 2026 | 84.52 Mn |
| Dec 31, 2025 | 73.20 Mn |
| Sep 30, 2025 | 66.77 Mn |
| Jun 30, 2025 | 62.56 Mn |
| Mar 31, 2025 | 56.54 Mn |
| Dec 31, 2024 | 59.28 Mn |
| Sep 30, 2024 | 54.22 Mn |
| Jun 30, 2024 | 51.73 Mn |
| Mar 31, 2024 | 49.82 Mn |
| Dec 31, 2023 | 46.40 Mn |
| Sep 30, 2023 | 44.52 Mn |
| Jun 30, 2023 | 43.74 Mn |
| Mar 31, 2023 | 40.94 Mn |
| Dec 31, 2022 | 43.67 Mn |
| Sep 30, 2022 | 43.69 Mn |
| Jun 30, 2022 | 42.53 Mn |
| Mar 31, 2022 | 40.41 Mn |
| Dec 31, 2021 | 42.49 Mn |
| Sep 30, 2021 | 36.65 Mn |
Arteris Total 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-current-liabilities&ticker=AIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();