Q (QCLS) Cash & Equivalents (2013 - 2026)
Q (QCLS) reported Cash & Equivalents of $1.13 million for Q1 2026, compared with $73,244 a year earlier and up 14.2% from the prior quarter.
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Analysis
Q (QCLS) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Q posted Cash & Equivalents of $986,996, up 470.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 46.1% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $173,154 in FY2024 (-93.5%), $2.68 million in FY2023 (+257.9%), $749,090 in FY2022 (+34.7%) and $555,967 in FY2021 (+274.9%).
- Five-year quarterly Cash & Equivalents spans a low of $73,244 in Q1 2025 and a high of $6.9 million in Q3 2025.
- Year over year, Cash & Equivalents gained in four of the last seven quarters, with growth averaging 214.0%.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2025 (growth of 479.0%); the low point was Q4 2024 (a decline of 93.5%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $986,996 (Q4 2025), $6.9 million (Q3 2025) and $207,553 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 7.40 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 21.85 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 7.04 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 4.21 Bn |
| 10 | Q | 2.82 Mn | 2.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.13 Mn |
| Dec 31, 2025 | 986,996.00 |
| Sep 30, 2025 | 6.90 Mn |
| Jun 30, 2025 | 207,553.00 |
| Mar 31, 2025 | 73,244.00 |
| Dec 31, 2024 | 173,154.00 |
| Sep 30, 2024 | 1.19 Mn |
| Jun 30, 2024 | 536,026.00 |
| Mar 31, 2024 | 225,655.00 |
| Dec 31, 2023 | 2.68 Mn |
| Sep 30, 2023 | 298,318.00 |
| Jun 30, 2023 | 93,823.00 |
| Mar 31, 2023 | 188,548.00 |
| Dec 31, 2022 | 749,090.00 |
| Sep 30, 2022 | 309,926.00 |
| Jun 30, 2022 | 1.12 Mn |
| Mar 31, 2022 | 1.19 Mn |
| Dec 31, 2021 | 555,967.00 |
| Sep 30, 2021 | 1.38 Mn |
| Jun 30, 2021 | 2.13 Mn |
API Access
Q Cash & Equivalents 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=cash-and-equivalents&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();