Quicklogic (QUIK) Interest Expenses (2009 - 2026)
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Analysis
Quicklogic (QUIK) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 2.43 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | -98.82 Mn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 778.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 62.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | - |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Quicklogic | 175.80 Mn | 113.21 Mn | 1.92 Mn | -39,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | -39,000.00 |
| Jun 28, 2026 | 71,000.00 |
| Mar 29, 2026 | 54,000.00 |
| Dec 28, 2025 | 78,000.00 |
| Sep 28, 2025 | 87,000.00 |
| Jun 29, 2025 | 108,000.00 |
| Mar 30, 2025 | 97,000.00 |
| Dec 29, 2024 | 111,000.00 |
| Sep 29, 2024 | 187,000.00 |
| Jun 30, 2024 | 39,000.00 |
| Mar 31, 2024 | 69,000.00 |
| Dec 31, 2023 | 59,000.00 |
| Oct 1, 2023 | 48,000.00 |
| Jul 2, 2023 | 50,000.00 |
| Apr 2, 2023 | 58,000.00 |
| Oct 2, 2022 | 44,000.00 |
| Jul 3, 2022 | 22,000.00 |
| Apr 3, 2022 | 33,000.00 |
| Oct 3, 2021 | 35,000.00 |
| Jul 4, 2021 | 32,000.00 |
API Access
Quicklogic Interest Expenses 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=interest-expenses&ticker=QUIK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "QUIK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=QUIK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();