Pdf Solutions (PDFS) Interest Expenses (2025 - 2026)
Pdf Solutions (PDFS) recorded Interest Expenses of $1.11 million in 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) Interest Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Pdf Solutions' Interest Expenses came in at $4.6 million as of Jun 30, 2026, up 196.0% year-over-year; for FY2025, it came in at $3.96 million.
- Quarterly Interest Expenses has ranged from $311,000 in Q1 2025 to $1.24 million in Q2 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1.09 million (Q1 2026), $1.16 million (Q4 2025) and $1.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 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=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();