Q (QCLS) Net Equity Issued and Repurchased (2013 - 2026)
Q (QCLS) reported Net Equity Issued and Repurchased of $511,175 for Q1 2026, down 89.9% from the prior quarter.
Q (QCLS) Net Equity Issued and Repurchased (2013 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Q's Net Equity Issued and Repurchased came in at $20.27 million; for FY2025, it came in at $11.73 million.
- Net Equity Issued and Repurchased has a five-year compound annual growth rate of 42.7% (FY2020 to FY2025).
- By year, Net Equity Issued and Repurchased came in at $5.55 million in FY2022 (+366.5%) and $1.19 million in FY2021 (-39.9%).
- The Q1 2026 figure ranks as the lowest quarterly Net Equity Issued and Repurchased since Q2 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | -19.73 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 5.00 Mn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 22.93 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | -440.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | -32.00 Mn |
| 10 | Q | 2.82 Mn | 2.82 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 511,175.00 |
| Dec 31, 2025 | 9.03 Mn |
| Sep 30, 2025 | 2.70 Mn |
| Mar 31, 2024 | -73,472.00 |
| Mar 31, 2023 | 29.37 Mn |
| Dec 31, 2021 | 994,972.00 |
| Sep 30, 2020 | 1.33 Mn |
| Dec 31, 2018 | 1.95 Mn |
| Mar 31, 2018 | 5.72 Mn |
| Dec 31, 2017 | 3.07 Mn |
| Jun 30, 2017 | 16,700.00 |
| Mar 31, 2017 | 3.70 Mn |
| Mar 31, 2014 | 13.85 Mn |
| Dec 31, 2013 | -40.00 |
| Jun 30, 2013 | 1.70 Mn |
| Mar 31, 2013 | 225,000.00 |
Q Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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=net-equity-issued-and-repurchased&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();