Synaptics (SYNA) Total Current Liabilities (2009 - 2026)
Synaptics (SYNA) recorded Total Current Liabilities of $664.1 million in fiscal Q1 2027 (quarter ended Sep 26, 2026), up 153.5% from $262 million a year earlier but down 5.3% from the prior quarter.
Synaptics (SYNA) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 27, 2026), Synaptics reported Total Current Liabilities of $701.3 million, up 158.9% from FY2025.
- 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, $253.3 million in FY2023 (-15.4%) and $299.3 million in FY2022.
- Quarterly Total Current Liabilities has ranged from $229.8 million in fiscal Q2 2025 to $701.3 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 54.7% over the last six 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 $701.3 million (Q4 2026), $248.2 million (Q3 2026) and $263.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 39.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 61.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 43.02 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 27.48 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 14.49 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 28.50 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 37.40 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 11.58 Bn |
| 10 | Synaptics | 4.69 Bn | 3.04 Bn | 140.40 Mn | 664.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 664.10 Mn |
| 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 |
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_KEY
import 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();