Synaptics (SYNA) Shares Outstanding (Entity) (2009 - 2026)
Synaptics' Shares Outstanding (Entity) came in at 39.06 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 1.1% from 38.64 million a year earlier and up 0.8% from the prior quarter.
Synaptics (SYNA) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
Going back to fiscal Q1 2010, Synaptics' Shares Outstanding (Entity) data covers 68 quarters.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of 2.0% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Entity) was 38.64 million in FY2025 (-2.3%), 39.57 million in FY2024 (+2.6%), 38.57 million in FY2023 (-2.7%) and 39.62 million in FY2022 (+12.1%).
- The five-year range for quarterly Shares Outstanding (Entity) is 38.57 million (fiscal Q4 2023) to 40.05 million (fiscal Q1 2025).
- Year-over-year, Shares Outstanding (Entity) increased in two of the last eight quarters, with an average decline of 0.6%.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in fiscal Q1 2022 (growth of 13.6%), and the weakest in fiscal Q4 2023 (a decline of 2.7%).
- Business Quant data shows SYNA's Shares Outstanding (Entity) at 38.74 million (Q3 2026), 38.71 million (Q2 2026) and 39.1 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 24.10 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.77 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.13 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.63 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 385.42 Mn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 5.04 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.25 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 793.60 Mn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 39.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 39.06 Mn |
| Mar 28, 2026 | 38.74 Mn |
| Dec 27, 2025 | 38.71 Mn |
| Sep 27, 2025 | 39.10 Mn |
| Jun 28, 2025 | 38.64 Mn |
| Mar 29, 2025 | 38.85 Mn |
| Dec 28, 2024 | 39.18 Mn |
| Sep 28, 2024 | 40.05 Mn |
| Jun 29, 2024 | 39.57 Mn |
| Mar 30, 2024 | 39.48 Mn |
| Dec 30, 2023 | 39.29 Mn |
| Sep 30, 2023 | 39.18 Mn |
| Jun 24, 2023 | 38.57 Mn |
| Mar 25, 2023 | 39.51 Mn |
| Dec 24, 2022 | 39.58 Mn |
| Sep 24, 2022 | 39.99 Mn |
| Jun 25, 2022 | 39.62 Mn |
| Mar 26, 2022 | 39.60 Mn |
| Dec 25, 2021 | 39.52 Mn |
| Sep 25, 2021 | 39.22 Mn |
Synaptics Shares Outstanding (Entity) 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-entity&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "SYNA", "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-entity&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();