Sequans Communications (SQNS) Shares Outstanding (Diluted) (2009 - 2026)
Sequans Communications (SQNS) reported Weighted Average Shares Outstanding (Diluted) of 216.84 million for Q3 2026, up 205.4% from 71.01 million a year earlier and unchanged from the prior quarter.
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Analysis
Sequans Communications (SQNS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Dating back to Q4 2009, Sequans Communications' Weighted Average Shares Outstanding (Diluted) record includes 68 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased for ten consecutive years, with a five-year compound annual growth rate of 50.5% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 71.01 million in FY2024 (+26.1%), 56.3 million in FY2023 (+22.0%), 46.15 million in FY2022 (+25.8%) and 36.67 million in FY2021 (+30.5%).
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 40 quarters, with growth averaging 115.8% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 22.0% (Q4 2023) and 205.4% (Q3 2026) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at 216.84 million (Q2 2026), 216.84 million (Q1 2026) and 216.84 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 188.19 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 25.93 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 24.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.89 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.14 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.66 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 388.90 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 5.31 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 800.00 Mn |
| 10 | Sequans Communications | 947.76 Mn | 846.17 Mn | 3.00 Mn | 216.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 216.84 Mn |
| Jun 30, 2026 | 216.84 Mn |
| Mar 31, 2026 | 216.84 Mn |
| Dec 31, 2025 | 216.84 Mn |
| Sep 30, 2025 | 71.01 Mn |
| Jun 30, 2025 | 71.01 Mn |
| Mar 31, 2025 | 71.01 Mn |
| Dec 31, 2024 | 71.01 Mn |
| Sep 30, 2024 | 56.30 Mn |
| Jun 30, 2024 | 56.30 Mn |
| Mar 31, 2024 | 56.30 Mn |
| Dec 31, 2023 | 56.30 Mn |
| Sep 30, 2023 | 46.15 Mn |
| Jun 30, 2023 | 46.15 Mn |
| Mar 31, 2023 | 46.15 Mn |
| Dec 31, 2022 | 46.15 Mn |
| Sep 30, 2022 | 36.67 Mn |
| Jun 30, 2022 | 36.67 Mn |
| Mar 31, 2022 | 36.67 Mn |
| Dec 31, 2021 | 36.67 Mn |
API Access
Sequans Communications Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SQNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SQNS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=SQNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();