Arteris (AIP) Times Interest Earned (2024 - 2026)
Arteris' Times Interest Earned came in at -463.60 for Q2 2026, compared with -196.38 a year earlier.
Analysis
Arteris (AIP) Times Interest Earned (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arteris reported Times Interest Earned of -236.19; for FY2025, it came in at -171.69.
- Going back by year, Times Interest Earned was -129.49 in FY2024 and -166.55 in FY2023.
- The Q2 2026 figure represents the lowest quarterly Times Interest Earned in data going back to Q2 2024.
- Business Quant data shows AIP's Times Interest Earned at -244.74 (Q1 2026), -156.80 (Q4 2025) and -177.84 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 248.49 |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 20.51 |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 53.78 |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | - |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 45.22 |
| 10 | Arteris | 1.16 Bn | 905.84 Mn | 20.53 Mn | -463.60 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -463.60 |
| Mar 31, 2026 | -244.74 |
| Dec 31, 2025 | -156.80 |
| Sep 30, 2025 | -177.84 |
| Jun 30, 2025 | -196.38 |
| Mar 31, 2025 | -160.58 |
| Dec 31, 2024 | -157.82 |
| Sep 30, 2024 | -143.98 |
| Jun 30, 2024 | -109.43 |
API Access
Arteris Times Interest Earned 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=times-interest-earned&ticker=AIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=AIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();