Silicon Laboratories (SLAB) Total Non-Current Liabilities (2009 - 2026)
Silicon Laboratories (SLAB) posted Total Non-Current Liabilities of $157.51 million for Q3 2027, up 8.4% from $145.31 million a year earlier and up 26.9% from the prior quarter.
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Analysis
Silicon Laboratories (SLAB) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026, Silicon Laboratories' Total Non-Current Liabilities came in at $143.79 million.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -26.5% (FY2021 to FY2026).
- In prior years, Silicon Laboratories' Total Non-Current Liabilities was $97.88 million in FY2024 (-40.2%), $163.57 million in FY2023 (-77.1%) and $715.35 million in FY2022 (+7.0%).
- The Q3 2027 figure stands as the highest quarterly Total Non-Current Liabilities since Q3 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $124.15 million (Q2 2027), $132.48 million (Q1 2027) and $143.79 million (Q4 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 16.81 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 32.71 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 80.37 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 78.01 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 45.85 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 23.70 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 7.86 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 83.71 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Silicon Laboratories | 7.39 Bn | 5.67 Bn | 152.58 Mn | 157.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 157.51 Mn |
| Jul 4, 2026 | 124.15 Mn |
| Apr 4, 2026 | 132.48 Mn |
| Jan 3, 2026 | 143.79 Mn |
| Oct 4, 2025 | 145.31 Mn |
| Jul 5, 2025 | 120.67 Mn |
| Apr 5, 2025 | 119.72 Mn |
| Dec 28, 2024 | 97.88 Mn |
| Sep 28, 2024 | 118.31 Mn |
| Jun 29, 2024 | 100.11 Mn |
| Mar 30, 2024 | 111.36 Mn |
| Dec 30, 2023 | 163.57 Mn |
| Sep 30, 2023 | 165.14 Mn |
| Jul 1, 2023 | 218.55 Mn |
| Apr 1, 2023 | 693.33 Mn |
| Dec 31, 2022 | 715.35 Mn |
| Oct 1, 2022 | 734.76 Mn |
| Jul 2, 2022 | 760.68 Mn |
| Apr 2, 2022 | 774.29 Mn |
| Jan 1, 2022 | 668.83 Mn |
API Access
Silicon Laboratories Total Non-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-non-current-liabilities&ticker=SLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SLAB", "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-non-current-liabilities&ticker=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();