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 | SK hynix | 25,315.76 Bn | 25,299.34 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,307.80 Bn | 10,042.23 Bn | - |
| 3 | Nvidia | 4,179.08 Bn | 3,953.24 Bn | 72.14 Bn |
| 4 | Broadcom | 1,586.53 Bn | 1,512.57 Bn | 20.46 Bn |
| 5 | Advanced Micro Devices | 875.82 Bn | 824.04 Bn | 7.21 Bn |
| 6 | Micron Technology | 828.06 Bn | 733.70 Bn | 47.05 Bn |
| 7 | Asml Holding | 596.24 Bn | 551.71 Bn | - |
| 8 | Intel | 312.07 Bn | 158.13 Bn | 7.10 Bn |
| 9 | Applied Materials | 301.25 Bn | 266.69 Bn | 4.59 Bn |
| 10 | Arteris | 968.42 Mn | 649.47 Mn | 22.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.39 Mn |
| 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 |
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();