Pdf Solutions (PDFS) Non Operating Interest Expenses (2025 - 2026)
Pdf Solutions' Non Operating Interest Expenses came in at $1.11 million for Q2 2026, down 11.0% from $1.24 million a year earlier but up 1.6% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) Non Operating Interest Expenses (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pdf Solutions reported Non Operating Interest Expenses of $4.6 million, up 196.0% year-over-year; for FY2025, it was $3.96 million.
- The five-year range for quarterly Non Operating Interest Expenses is $311,000 (Q1 2025) to $1.24 million (Q2 2025).
- Business Quant data shows PDFS's Non Operating Interest Expenses at $1.09 million (Q1 2026), $1.16 million (Q4 2025) and $1.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | -97.61 Mn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 778.00 Mn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 37.00 Mn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | - |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 68.00 Mn |
| 10 | Pdf Solutions | 2.14 Bn | 1.91 Bn | 42.42 Mn | 1.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Mn |
| Mar 31, 2026 | 1.09 Mn |
| Dec 31, 2025 | 1.16 Mn |
| Sep 30, 2025 | 1.24 Mn |
| Jun 30, 2025 | 1.24 Mn |
| Mar 31, 2025 | 311,000.00 |
API Access
Pdf Solutions Non Operating 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=non-operating-interest-expenses&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "PDFS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();