Synaptics (SYNA) Inventory (2010 - 2026)
Synaptics' Inventory came in at $156.4 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 12.1% from $139.5 million a year earlier but down 3.0% from the prior quarter.
Synaptics (SYNA) Inventory (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Synaptics' Inventory data covers 62 quarters.
- Inventory carries a five-year compound annual growth rate of 13.8% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $139.5 million in FY2025 (+22.4%), $114 million in FY2024 (-16.9%), $137.2 million in FY2023 (-19.2%) and $169.7 million in FY2022 (+107.0%).
- The five-year range for quarterly Inventory is $88.7 million (fiscal Q1 2022) to $179.4 million (fiscal Q1 2023).
- Year-over-year, Inventory has increased for six consecutive quarters, with growth averaging 13.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q3 2022 (growth of 110.5%), and the weakest in fiscal Q2 2024 (a decline of 29.5%).
- Business Quant data shows SYNA's Inventory at $161.3 million (Q3 2026), $158 million (Q2 2026) and $143.1 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.20 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 8.57 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 13.30 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 156.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 156.40 Mn |
| Mar 28, 2026 | 161.30 Mn |
| Dec 27, 2025 | 158.00 Mn |
| Sep 27, 2025 | 143.10 Mn |
| Jun 28, 2025 | 139.50 Mn |
| Mar 29, 2025 | 132.90 Mn |
| Dec 28, 2024 | 119.50 Mn |
| Sep 28, 2024 | 119.60 Mn |
| Jun 29, 2024 | 114.00 Mn |
| Mar 30, 2024 | 114.10 Mn |
| Dec 30, 2023 | 125.10 Mn |
| Sep 30, 2023 | 131.70 Mn |
| Jun 24, 2023 | 137.20 Mn |
| Mar 25, 2023 | 147.80 Mn |
| Dec 24, 2022 | 177.50 Mn |
| Sep 24, 2022 | 179.40 Mn |
| Jun 25, 2022 | 169.70 Mn |
| Mar 26, 2022 | 145.90 Mn |
| Dec 25, 2021 | 133.30 Mn |
| Sep 25, 2021 | 88.70 Mn |
Synaptics Inventory 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=inventory&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();