Synaptics (SYNA) Other Accumulated Expenses (2010 - 2024)
Synaptics' Other Accumulated Expenses came in at $102.6 million for fiscal Q4 2024 (quarter ended Jun 29, 2024), up 3.2% from $99.4 million a year earlier and up 310.4% from the prior quarter.
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Analysis
Synaptics (SYNA) Other Accumulated Expenses (2010 - 2024) Analysis & Trends
Going back to fiscal Q4 2010, Synaptics' Other Accumulated Expenses data covers 54 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -0.7% (FY2019 to FY2024).
- Going back by fiscal year, Other Accumulated Expenses was $99.4 million in FY2023 (-31.6%), $145.3 million in FY2022 (+51.0%), $96.2 million in FY2021 (+5.7%) and $91 million in FY2020 (-14.2%).
- The fiscal Q4 2024 figure represents the highest quarterly Other Accumulated Expenses since fiscal Q4 2022.
- Year-over-year, Other Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 36.0%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q3 2022 (growth of 53.6%), and the weakest in fiscal Q2 2023 (a decline of 79.5%).
- Business Quant data shows SYNA's Other Accumulated Expenses at $25 million (Q3 2024), $26.8 million (Q2 2024) and $31.6 million (Q1 2024) in the three fiscal quarters before Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 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 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2024 | 102.60 Mn |
| Mar 30, 2024 | 25.00 Mn |
| Dec 30, 2023 | 26.80 Mn |
| Sep 30, 2023 | 31.60 Mn |
| Jun 24, 2023 | 99.40 Mn |
| Mar 25, 2023 | 29.80 Mn |
| Dec 24, 2022 | 28.40 Mn |
| Sep 24, 2022 | 35.60 Mn |
| Jun 25, 2022 | 145.30 Mn |
| Mar 26, 2022 | 139.30 Mn |
| Dec 25, 2021 | 138.50 Mn |
| Sep 25, 2021 | 111.80 Mn |
| Jun 26, 2021 | 96.20 Mn |
| Mar 27, 2021 | 90.70 Mn |
| Jun 27, 2020 | 91.00 Mn |
| Dec 31, 2019 | 87.60 Mn |
| Sep 30, 2019 | 107.70 Mn |
| Jun 29, 2019 | 106.10 Mn |
| Mar 31, 2019 | 99.10 Mn |
| Dec 31, 2018 | 91.90 Mn |
API Access
Synaptics Other Accumulated 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=other-accumulated-expenses&ticker=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();