Q (QCLS) Enterprise Value (2014 - 2026)
Q's Enterprise Value was $43.87 million in Q2 2026, down 78.6% from $205.22 million a year earlier but up 68.5% from the prior quarter.
Analysis
Q (QCLS) Enterprise Value (2014 - 2026) Analysis & Trends
For FY2025, Enterprise Value at Q came in at $3.03 million, down 99.0% from FY2024.
- Enterprise Value has now declined for four consecutive years, with a five-year compound annual growth rate of -85.2% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $290.29 million in FY2024 (-75.8%), $1.2 billion in FY2023 (-99.1%), $136.17 billion in FY2022 (-80.1%) and $684.89 billion in FY2021.
- Quarterly Enterprise Value has moved between $3.03 million (Q4 2025) and $813.01 billion (Q3 2021) over five years.
- Compared with a year earlier, Enterprise Value has declined for 17 straight quarters, with an average decline of 81.4% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q1 2022 (growth of 230.8%); the worst was Q2 2024 (a decline of 99.8%).
- Per Business Quant data, QCLS's Enterprise Value in the three quarters before Q2 2026 was $26.04 million (Q1 2026), $3.03 million (Q4 2025) and $14.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,276.08 Bn | 5,050.24 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,267.33 Bn | 1,892.19 Bn | 27.22 Bn |
| 3 | Broadcom | 1,632.21 Bn | 1,558.26 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,047.49 Bn | 953.13 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 914.36 Bn | 871.11 Bn | 6.20 Bn |
| 6 | Asml Holding | 635.50 Bn | 591.18 Bn | 5.90 Bn |
| 7 | Intel | 478.83 Bn | 347.96 Bn | 6.51 Bn |
| 8 | Applied Materials | 314.54 Bn | 279.99 Bn | 4.59 Bn |
| 9 | Lam Research | 301.55 Bn | 277.60 Bn | 4.30 Bn |
| 10 | Q | 3.85 Mn | 3.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.87 Mn |
| Mar 31, 2026 | 26.04 Mn |
| Dec 31, 2025 | 3.03 Mn |
| Sep 30, 2025 | 14.65 Mn |
| Jun 30, 2025 | 205.22 Mn |
| Mar 31, 2025 | 197.85 Mn |
| Dec 31, 2024 | 290.29 Mn |
| Sep 30, 2024 | 408.30 Mn |
| Jun 30, 2024 | 441.67 Mn |
| Mar 31, 2024 | 518.82 Mn |
| Dec 31, 2023 | 1.20 Bn |
| Sep 30, 2023 | 83.46 Bn |
| Jun 30, 2023 | 189.11 Bn |
| Mar 31, 2023 | 203.65 Bn |
| Dec 31, 2022 | 136.17 Bn |
| Sep 30, 2022 | 309.04 Bn |
| Jun 30, 2022 | 247.75 Bn |
| Mar 31, 2022 | 532.05 Bn |
| Dec 31, 2021 | 684.89 Bn |
| Sep 30, 2021 | 813.01 Bn |
API Access
Q Enterprise Value 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=enterprise-value&ticker=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();