Q (QCLS) Intangibles (2013 - 2026)
Q's Intangibles came in at $14.09 million for Q1 2026, unchanged from the prior quarter.
Analysis
Q (QCLS) Intangibles (2013 - 2026) Analysis & Trends
Going back to Q4 2013, Q's Intangibles data covers 29 quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,921.46 Bn | 4,695.62 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,095.29 Bn | 1,720.15 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,543.66 Bn | 1,469.70 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 988.36 Bn | 893.99 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 817.26 Bn | 774.00 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 606.18 Bn | 561.86 Bn | 5.90 Bn | 634.47 Mn |
| 7 | Intel | 330.29 Bn | 330.29 Bn | 7.10 Bn | 2.44 Bn |
| 8 | Applied Materials | 307.60 Bn | 273.04 Bn | 4.59 Bn | 315.00 Mn |
| 9 | Lam Research | 297.52 Bn | 273.57 Bn | 4.30 Bn | - |
| 10 | Q | 3.65 Mn | 3.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 14.09 Mn |
| Dec 31, 2025 | 14.09 Mn |
| Jun 30, 2020 | 3.90 Mn |
| Mar 31, 2020 | 158,597.00 |
| Dec 31, 2019 | 170,423.00 |
| Sep 30, 2019 | 213,405.00 |
| Jun 30, 2019 | 223,407.00 |
| Mar 31, 2019 | 233,409.00 |
| Dec 31, 2018 | 243,411.00 |
| Sep 30, 2018 | 1.00 Mn |
| Jun 30, 2018 | 1.05 Mn |
| Mar 31, 2018 | 1.09 Mn |
| Dec 31, 2017 | 1.13 Mn |
| Sep 30, 2017 | 1.17 Mn |
| Jun 30, 2017 | 1.22 Mn |
| Mar 31, 2017 | 1.26 Mn |
| Dec 31, 2016 | 1.30 Mn |
| Sep 30, 2016 | 1.34 Mn |
| Jun 30, 2016 | 1.39 Mn |
| Mar 31, 2016 | 1.43 Mn |
API Access
Q Intangibles 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=intangibles&ticker=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "QCLS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();