Synaptics (SYNA) Change in Accured Expenses (2009 - 2026)
Synaptics' Change in Accured Expenses came in at $3.3 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), down 93.6% from $51.7 million a year earlier but up 120.0% from the prior quarter.
Powered by 
Analysis
Synaptics (SYNA) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Synaptics' Change in Accured Expenses was -$30.9 million.
- Going back by fiscal year, Change in Accured Expenses was $4.1 million in FY2025, -$4.3 million in FY2024, -$101.4 million in FY2023 and $17.4 million in FY2022.
- The five-year range for quarterly Change in Accured Expenses is -$38.7 million (fiscal Q3 2022) to $51.7 million (fiscal Q4 2025).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 66.8%.
- Business Quant data shows SYNA's Change in Accured Expenses at $1.5 million (Q3 2026), -$4.1 million (Q2 2026) and -$31.6 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 252.00 Mn |
| 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 | 372.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 2.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 3.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.30 Mn |
| Mar 28, 2026 | 1.50 Mn |
| Dec 27, 2025 | -4.10 Mn |
| Sep 27, 2025 | -31.60 Mn |
| Jun 28, 2025 | 51.70 Mn |
| Mar 29, 2025 | 10.00 Mn |
| Dec 28, 2024 | -24.60 Mn |
| Sep 28, 2024 | -33.00 Mn |
| Jun 29, 2024 | 16.00 Mn |
| Mar 30, 2024 | 3.10 Mn |
| Dec 30, 2023 | -1.40 Mn |
| Sep 30, 2023 | -22.00 Mn |
| Jun 24, 2023 | -31.80 Mn |
| Mar 25, 2023 | -15.40 Mn |
| Dec 24, 2022 | -16.00 Mn |
| Sep 24, 2022 | -38.20 Mn |
| Jun 25, 2022 | 1.00 Mn |
| Mar 26, 2022 | -38.70 Mn |
| Dec 25, 2021 | 31.10 Mn |
| Sep 25, 2021 | 24.00 Mn |
API Access
Synaptics Change in Accured Expenses 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=change-in-accured-expenses&ticker=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();