Pdf Solutions (PDFS) Amortization - Intangibles (2010 - 2026)
Pdf Solutions (PDFS) posted Amortization - Intangibles of $1.06 million for Q2 2026, down 0.9% from $1.07 million a year earlier and down 0.1% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Pdf Solutions was $4.26 million, up 133.3% year-over-year; for FY2025, it was $3.58 million, up 300.0% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 37.1% (FY2020 to FY2025).
- In prior years, Pdf Solutions' Amortization - Intangibles was $896,000 in FY2024 (-30.3%), $1.29 million in FY2023 (+1.2%), $1.27 million in FY2022 (+1.2%) and $1.26 million in FY2021 (+69.4%).
- The Q2 2026 figure stands as the lowest quarterly Amortization - Intangibles since Q1 2025.
- On a year-over-year basis, Amortization - Intangibles increased in five of the last eight quarters, with growth averaging 173.7%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q4 2025, with growth of 487.4%; the weakest was Q4 2024, with a decline of 40.5%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $1.06 million (Q1 2026), $1.07 million (Q4 2025) and $1.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 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 |
| 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 |
| 10 | Pdf Solutions | 2.14 Bn | 1.91 Bn | 42.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Mn |
| Mar 31, 2026 | 1.06 Mn |
| Dec 31, 2025 | 1.07 Mn |
| Sep 30, 2025 | 1.07 Mn |
| Jun 30, 2025 | 1.07 Mn |
| Mar 31, 2025 | 378,000.00 |
| Dec 31, 2024 | 182,000.00 |
| Sep 30, 2024 | 196,000.00 |
| Jun 30, 2024 | 259,000.00 |
| Mar 31, 2024 | 259,000.00 |
| Dec 31, 2023 | 306,000.00 |
| Sep 30, 2023 | 328,000.00 |
| Jun 30, 2023 | 326,000.00 |
| Mar 31, 2023 | 325,000.00 |
| Dec 31, 2022 | 324,000.00 |
| Sep 30, 2022 | 318,000.00 |
| Sep 30, 2019 | 144,000.00 |
| Jun 30, 2019 | 143,000.00 |
| Mar 31, 2019 | 144,000.00 |
| Dec 31, 2018 | 144,000.00 |
API Access
Pdf Solutions Amortization - Intangibles 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=amortization-intangibles&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();