Pdf Solutions (PDFS) Amortizatization of Intangibles (2010 - 2026)
Pdf Solutions (PDFS) recorded Amortizatization of Intangibles of $2.06 million in Q2 2026, down 0.5% from $2.07 million a year earlier and unchanged from the prior quarter.
Pdf Solutions (PDFS) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
On a TTM basis, Pdf Solutions' Amortizatization of Intangibles came in at $8.25 million as of Jun 30, 2026, up 76.7% year-over-year; for FY2025, it came in at $7.26 million, up 124.5% from FY2024.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of 38.1% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $3.23 million in FY2024 (-9.0%), $3.55 million in FY2023 (+1.9%), $3.48 million in FY2022 (+4.5%) and $3.33 million in FY2021 (+130.6%).
- The Q2 2026 figure is the lowest quarterly Amortizatization of Intangibles since Q1 2025.
- On a year-over-year basis, Amortizatization of Intangibles rose in four of the last five quarters, with growth averaging 114.9%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 170.1% in Q4 2025, against a decline of 4.1% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.06 million (Q1 2026), $2.07 million (Q4 2025) and $2.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 2.04 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 544.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 235.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | - |
| 10 | Pdf Solutions | 2.32 Bn | 2.10 Bn | 42.42 Mn | 2.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.06 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 2.07 Mn |
| Sep 30, 2025 | 2.07 Mn |
| Jun 30, 2025 | 2.07 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 765,000.00 |
| Sep 30, 2024 | 780,000.00 |
| Jun 30, 2024 | 843,000.00 |
| Jun 30, 2023 | 879,000.00 |
| Mar 31, 2023 | 878,000.00 |
| Dec 31, 2022 | 879,000.00 |
| Sep 30, 2022 | 871,000.00 |
| Jun 30, 2022 | 867,000.00 |
| Mar 31, 2022 | 867,000.00 |
| Dec 31, 2021 | 867,000.00 |
| Sep 30, 2021 | 769,000.00 |
| Jun 30, 2021 | 849,000.00 |
| Mar 31, 2021 | 849,000.00 |
| Dec 31, 2020 | 494,000.00 |
Pdf Solutions Amortizatization of 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=amortizatization-of-intangibles&ticker=PDFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();