Sequans Communications (SQNS) Shares Outstanding (2009 - 2026)
Sequans Communications (SQNS) posted Weighted Average Shares Outstanding of 216.84 million for Q3 2026, up 249.3% from 62.07 million a year earlier and unchanged from the prior quarter.
Sequans Communications (SQNS) Shares Outstanding (2009 - 2026) Analysis & Trends
Since Q4 2009, Sequans Communications has reported Weighted Average Shares Outstanding for 68 quarters.
- Annual Weighted Average Shares Outstanding has increased for ten consecutive years, with a five-year compound annual growth rate of 50.5% (FY2020 to FY2025).
- In prior years, Sequans Communications' Weighted Average Shares Outstanding was 62.07 million in FY2024 (+10.3%), 56.3 million in FY2023 (+22.0%), 46.15 million in FY2022 (+25.8%) and 36.67 million in FY2021 (+30.5%).
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 40 quarters, with growth averaging 129.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 10.3% (Q4 2024) to 249.3% (Q3 2026).
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 216.84 million (Q2 2026), 216.84 million (Q1 2026) and 216.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 189.55 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 | 24.19 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.77 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.13 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.64 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 388.50 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 5.24 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 794.00 Mn |
| 10 | Sequans Communications | 947.76 Mn | 846.17 Mn | 3.00 Mn | 216.84 Mn |
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 | 62.07 Mn |
| Jun 30, 2025 | 62.07 Mn |
| Mar 31, 2025 | 62.07 Mn |
| Dec 31, 2024 | 62.07 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 |
Sequans Communications Shares Outstanding 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&ticker=SQNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SQNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();