Synaptics (SYNA) Total Liabilities (2009 - 2026)
Synaptics (SYNA) reported Total Liabilities of $1.14 billion for fiscal Q1 2027 (quarter ended Sep 26, 2026), down 3.5% from $1.18 billion a year earlier and down 3.1% from the prior quarter.
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Analysis
Synaptics (SYNA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 27, 2026), Synaptics posted Total Liabilities of $1.17 billion, down 1.4% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of -1.4% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $1.19 billion in FY2025 (-12.4%), $1.36 billion in FY2024, $1.35 billion in FY2023 (-5.0%) and $1.42 billion in FY2022.
- The fiscal Q1 2027 figure ranks as the lowest quarterly Total Liabilities since fiscal Q4 2020.
- Year over year, Total Liabilities has now declined in each of the last three quarters, with an average decline of 4.4% over the last six quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2022 (growth of 26.4%); the low point was fiscal Q4 2023 (a decline of 14.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.17 billion (Q4 2026), $1.16 billion (Q3 2026) and $1.18 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Synaptics | 4.69 Bn | 3.04 Bn | 140.40 Mn | 1.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 1.14 Bn |
| Jun 27, 2026 | 1.17 Bn |
| Mar 28, 2026 | 1.16 Bn |
| Dec 27, 2025 | 1.18 Bn |
| Sep 27, 2025 | 1.18 Bn |
| Jun 28, 2025 | 1.19 Bn |
| Mar 29, 2025 | 1.17 Bn |
| Dec 28, 2024 | 1.15 Bn |
| Sep 28, 2024 | 1.32 Bn |
| Jun 29, 2024 | 1.36 Bn |
| Mar 30, 2024 | 1.30 Bn |
| Dec 30, 2023 | 1.35 Bn |
| Sep 30, 2023 | 1.34 Bn |
| Jun 24, 2023 | 1.37 Bn |
| Mar 25, 2023 | 1.39 Bn |
| Dec 24, 2022 | 1.42 Bn |
| Sep 24, 2022 | 1.50 Bn |
| Jun 25, 2022 | 1.59 Bn |
| Mar 26, 2022 | 1.54 Bn |
| Dec 25, 2021 | 1.50 Bn |
API Access
Synaptics Total Liabilities 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=total-liabilities&ticker=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();