Synaptics (SYNA) Total Current Liabilities (2010 - 2026)
Synaptics (SYNA) recorded Total Current Liabilities of $701.3 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 158.9% from $270.9 million a year earlier and up 182.6% from the prior quarter.
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Analysis
Synaptics (SYNA) Total Current Liabilities (2010 - 2026) Analysis & Trends
Starting with fiscal Q4 2010, Synaptics' Total Current Liabilities history includes 62 quarters.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $270.9 million in FY2025 (-2.3%), $277.2 million in FY2024 (+6.6%), $260.1 million in FY2023 (-43.9%) and $463.4 million in FY2022 (-41.1%).
- The fiscal Q4 2026 figure is the highest quarterly Total Current Liabilities since fiscal Q4 2021.
- On a year-over-year basis, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 23.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 158.9% in fiscal Q4 2026, against a decline of 43.9% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $248.2 million (Q3 2026), $263.4 million (Q2 2026) and $262 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 58.78 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 19.49 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 28.24 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 701.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 701.30 Mn |
| Mar 28, 2026 | 248.20 Mn |
| Dec 27, 2025 | 263.40 Mn |
| Sep 27, 2025 | 262.00 Mn |
| Jun 28, 2025 | 270.90 Mn |
| Mar 29, 2025 | 247.50 Mn |
| Dec 28, 2024 | 229.80 Mn |
| Sep 28, 2024 | 253.90 Mn |
| Jun 29, 2024 | 277.20 Mn |
| Mar 30, 2024 | 210.90 Mn |
| Dec 30, 2023 | 253.30 Mn |
| Sep 30, 2023 | 245.50 Mn |
| Jun 24, 2023 | 260.10 Mn |
| Mar 25, 2023 | 268.90 Mn |
| Dec 24, 2022 | 299.30 Mn |
| Sep 24, 2022 | 365.30 Mn |
| Jun 25, 2022 | 463.40 Mn |
| Mar 26, 2022 | 393.00 Mn |
| Dec 25, 2021 | 365.20 Mn |
| Sep 25, 2021 | 303.50 Mn |
API Access
Synaptics Total Current 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-current-liabilities&ticker=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();