Synaptics (SYNA) Total Liabilities (2010 - 2026)
Synaptics (SYNA) reported Total Liabilities of $1.17 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), down 1.4% from $1.19 billion a year earlier but up 0.8% from the prior quarter.
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Analysis
Synaptics (SYNA) Total Liabilities (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Synaptics' Total Liabilities record includes 62 quarters.
- Total Liabilities has declined for four consecutive fiscal years, with 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 (-0.7%), $1.37 billion in FY2023 (-14.1%) and $1.59 billion in FY2022 (+26.4%).
- Five-year quarterly Total Liabilities spans a low of $780.8 million in fiscal Q1 2022 and a high of $1.59 billion in fiscal Q4 2022.
- Year over year, Total Liabilities gained in 1 of the last eight quarters, with an average decline of 6.2%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2023 (growth of 92.1%); the low point was fiscal Q2 2025 (a decline of 14.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.16 billion (Q3 2026), $1.18 billion (Q2 2026) and $1.18 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 1.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 25, 2021 | 780.80 Mn |
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();