Veeco Instruments (VECO) Amortization - Intangibles (2011 - 2026)
Veeco Instruments' Amortization - Intangibles was $607,000 in Q2 2026, down 26.1% from $821,000 a year earlier and down 13.9% from the prior quarter.
Veeco Instruments (VECO) Amortization - Intangibles (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Veeco Instruments' Amortization - Intangibles was $2.81 million through Jun 30, 2026, down 42.8% year-over-year; for FY2025, it came in at $3.14 million, down 55.1% from FY2024.
- Amortization - Intangibles has now declined for eight consecutive years, with a five-year compound annual growth rate of -27.2% (FY2020 to FY2025).
- In earlier years, Amortization - Intangibles was $6.98 million in FY2024 (-17.7%), $8.48 million in FY2023 (-15.3%), $10.02 million in FY2022 (-18.4%) and $12.28 million in FY2021 (-19.9%).
- The Q2 2026 figure marks the lowest quarterly Amortization - Intangibles in data going back to Q1 2011.
- Compared with a year earlier, Amortization - Intangibles has declined for 26 straight quarters, with an average decline of 38.3% over the last eight quarters.
- The year-over-year decline in Amortization - Intangibles has ranged between 10.4% (Q1 2024) and 56.6% (Q1 2025) over the last five years.
- Per Business Quant data, VECO's Amortization - Intangibles in the three quarters before Q2 2026 was $705,000 (Q1 2026), $723,000 (Q4 2025) and $771,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn |
| 10 | Veeco Instruments | 2.66 Bn | 1.09 Bn | 74.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 607,000.00 |
| Mar 31, 2026 | 705,000.00 |
| Dec 31, 2025 | 723,000.00 |
| Sep 30, 2025 | 771,000.00 |
| Jun 30, 2025 | 821,000.00 |
| Mar 31, 2025 | 821,000.00 |
| Dec 31, 2024 | 1.58 Mn |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 1.83 Mn |
| Mar 31, 2024 | 1.89 Mn |
| Dec 31, 2023 | 2.12 Mn |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | 2.12 Mn |
| Mar 31, 2023 | 2.11 Mn |
| Dec 31, 2022 | 2.50 Mn |
| Sep 30, 2022 | 2.51 Mn |
| Jun 30, 2022 | 2.51 Mn |
| Mar 31, 2022 | 2.50 Mn |
| Dec 31, 2021 | 2.98 Mn |
| Sep 30, 2021 | 2.98 Mn |
Veeco Instruments 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=VECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "VECO", "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=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();