Synaptics (SYNA) Selling, General & Administrative (2009 - 2026)
Synaptics (SYNA) reported Selling, General & Administrative of $54.7 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 18.7% from $46.1 million a year earlier and up 10.3% from the prior quarter.
Synaptics (SYNA) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Synaptics posted Selling, General & Administrative of $198.3 million, up 10.0% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 6.5% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $180.3 million in FY2025 (+11.8%), $161.3 million in FY2024 (-7.8%), $175 million in FY2023 (+3.9%) and $168.4 million in FY2022 (+16.2%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to fiscal Q1 2010.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 12.2%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q3 2026 (growth of 42.9%); the low point was fiscal Q4 2024 (a decline of 16.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $49.6 million (Q3 2026), $47.8 million (Q2 2026) and $46.2 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 407.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 1.18 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 322.33 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 162.00 Mn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 54.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 54.70 Mn |
| Mar 28, 2026 | 49.60 Mn |
| Dec 27, 2025 | 47.80 Mn |
| Sep 27, 2025 | 46.20 Mn |
| Jun 28, 2025 | 46.10 Mn |
| Mar 29, 2025 | 34.70 Mn |
| Dec 28, 2024 | 49.50 Mn |
| Sep 28, 2024 | 50.00 Mn |
| Jun 29, 2024 | 38.80 Mn |
| Mar 30, 2024 | 40.50 Mn |
| Dec 30, 2023 | 39.70 Mn |
| Sep 30, 2023 | 42.30 Mn |
| Jun 24, 2023 | 46.20 Mn |
| Mar 25, 2023 | 41.70 Mn |
| Dec 24, 2022 | 42.40 Mn |
| Sep 24, 2022 | 44.70 Mn |
| Jun 25, 2022 | 38.30 Mn |
| Mar 26, 2022 | 44.20 Mn |
| Dec 25, 2021 | 44.30 Mn |
| Sep 25, 2021 | 41.60 Mn |
Synaptics Selling, General & Administrative 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=selling-general-and-administrative&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();