Arteris (AIP) Operating Leases (2020 - 2026)
Arteris (AIP) recorded Operating Leases of $3.73 million in Q2 2026, down 0.2% from $3.73 million a year earlier and down 8.8% from the prior quarter.
Analysis
Arteris (AIP) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025, Arteris reported Operating Leases of $3.12 million, up 3.9% from FY2024.
- Annual Operating Leases has a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $3 million in FY2024 (-17.0%), $3.61 million in FY2023 (+257.8%), $1.01 million in FY2022 (-45.5%) and $1.85 million in FY2021 (-11.0%).
- Quarterly Operating Leases has ranged from $1.01 million in Q4 2022 to $4.09 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Leases rose in six of the last eight quarters, with growth averaging 31.5%.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 257.8% in Q4 2023, against a decline of 45.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.09 million (Q1 2026), $3.12 million (Q4 2025) and $3.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn |
| 10 | Arteris | 932.29 Mn | 678.54 Mn | 20.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.73 Mn |
| Mar 31, 2026 | 4.09 Mn |
| Dec 31, 2025 | 3.12 Mn |
| Sep 30, 2025 | 3.43 Mn |
| Jun 30, 2025 | 3.73 Mn |
| Mar 31, 2025 | 3.50 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 3.33 Mn |
| Jun 30, 2024 | 3.12 Mn |
| Mar 31, 2024 | 3.33 Mn |
| Dec 31, 2023 | 3.61 Mn |
| Sep 30, 2023 | 1.04 Mn |
| Jun 30, 2023 | 1.18 Mn |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 1.01 Mn |
| Sep 30, 2022 | 1.13 Mn |
| Jun 30, 2022 | 1.39 Mn |
| Mar 31, 2022 | 1.66 Mn |
| Dec 31, 2021 | 1.85 Mn |
| Sep 30, 2021 | 2.05 Mn |
API Access
Arteris Operating Leases 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=operating-leases&ticker=AIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=AIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();