Q (QCLS) Assets (2013 - 2026)
Q (QCLS) recorded Assets of $38.29 million in Q1 2026, up 103.9% from $18.78 million a year earlier but down 7.0% from the prior quarter.
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Analysis
Q (QCLS) Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Q reported Assets of $41.17 million, up 92.2% from FY2024.
- Annual Assets has increased for three straight years, with a five-year compound annual growth rate of 127.4% (FY2020 to FY2025).
- Across earlier years, Assets came in at $21.42 million in FY2024 (+19.9%), $17.86 million in FY2023 (+1.8%), $17.54 million in FY2022 (-29.3%) and $24.81 million in FY2021.
- Quarterly Assets has ranged from $14.49 million in Q1 2024 to $41.17 million in Q4 2025 over the past five years.
- On a year-over-year basis, Assets has increased for three consecutive quarters, with growth averaging 35.0% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 103.9% in Q1 2026, against a decline of 49.0% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $41.17 million (Q4 2025), $37.23 million (Q3 2025) and $17.15 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,226.98 Bn | 5,001.14 Bn | 72.14 Bn | 320.27 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,200.79 Bn | 1,825.66 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,570.49 Bn | 1,496.54 Bn | 20.46 Bn | 188.15 Bn |
| 4 | Micron Technology | 1,017.05 Bn | 922.69 Bn | 47.05 Bn | 195.89 Bn |
| 5 | Advanced Micro Devices | 867.62 Bn | 824.37 Bn | 6.20 Bn | 84.46 Bn |
| 6 | Asml Holding | 616.92 Bn | 572.61 Bn | 5.90 Bn | 59.40 Bn |
| 7 | Intel | 461.96 Bn | 331.10 Bn | 6.51 Bn | 202.44 Bn |
| 8 | Applied Materials | 307.82 Bn | 273.26 Bn | 4.59 Bn | 43.52 Bn |
| 9 | Lam Research | 296.82 Bn | 272.87 Bn | 4.30 Bn | 26.35 Bn |
| 10 | Q | 3.53 Mn | 3.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 38.29 Mn |
| Dec 31, 2025 | 41.17 Mn |
| Sep 30, 2025 | 37.23 Mn |
| Jun 30, 2025 | 17.15 Mn |
| Mar 31, 2025 | 18.78 Mn |
| Dec 31, 2024 | 21.42 Mn |
| Sep 30, 2024 | 24.04 Mn |
| Jun 30, 2024 | 26.38 Mn |
| Mar 31, 2024 | 14.49 Mn |
| Dec 31, 2023 | 17.86 Mn |
| Sep 30, 2023 | 21.83 Mn |
| Jun 30, 2023 | 25.25 Mn |
| Mar 31, 2023 | 28.41 Mn |
| Dec 31, 2022 | 17.54 Mn |
| Sep 30, 2022 | 20.23 Mn |
| Jun 30, 2022 | 19.16 Mn |
| Mar 31, 2022 | 22.20 Mn |
| Dec 31, 2021 | 24.81 Mn |
| Sep 30, 2021 | 28.01 Mn |
| Jun 30, 2021 | 34.45 Mn |
API Access
Q Assets 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=assets&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();