Synaptics (SYNA) Shares Outstanding (2009 - 2026)
Synaptics' Weighted Average Shares Outstanding came in at 39.4 million for fiscal Q1 2027 (quarter ended Sep 26, 2026), up 1.5% from 38.8 million a year earlier and up 1.3% from the prior quarter.
Synaptics (SYNA) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Synaptics' Weighted Average Shares Outstanding was 38.9 million, down 1.0% from FY2025.
- Weighted Average Shares Outstanding carries a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- Going back by fiscal year, Weighted Average Shares Outstanding was 39.3 million in FY2025 (+0.3%), 39.2 million in FY2024, 39.2 million in FY2023 (-1.5%) and 39.8 million in FY2022 (+1.0%).
- The fiscal Q1 2027 figure represents the highest quarterly Weighted Average Shares Outstanding since fiscal Q2 2025.
- Year-over-year, Weighted Average Shares Outstanding increased in two of the last six quarters, with an average decline of 0.7%.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in fiscal Q4 2022 (growth of 12.1%), and the weakest in fiscal Q1 2026 (a decline of 2.5%).
- Business Quant data shows SYNA's Weighted Average Shares Outstanding at 38.9 million (Q4 2026), 38.8 million (Q3 2026) and 38.9 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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 | Synaptics | 4.69 Bn | 3.04 Bn | 140.40 Mn | 39.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 39.40 Mn |
| Jun 27, 2026 | 38.90 Mn |
| Mar 28, 2026 | 38.80 Mn |
| Dec 27, 2025 | 38.90 Mn |
| Sep 27, 2025 | 38.80 Mn |
| Jun 28, 2025 | 39.30 Mn |
| Mar 29, 2025 | 39.00 Mn |
| Dec 28, 2024 | 39.70 Mn |
| Sep 28, 2024 | 39.80 Mn |
| Jun 29, 2024 | 39.20 Mn |
| Mar 30, 2024 | 39.30 Mn |
| Dec 30, 2023 | 39.20 Mn |
| Sep 30, 2023 | 38.80 Mn |
| Jun 24, 2023 | 39.60 Mn |
| Mar 25, 2023 | 39.40 Mn |
| Dec 24, 2022 | 39.80 Mn |
| Sep 24, 2022 | 39.80 Mn |
| Jun 25, 2022 | 39.00 Mn |
| Mar 26, 2022 | 39.50 Mn |
| Dec 25, 2021 | 39.40 Mn |
Synaptics 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=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();