Veeco Instruments (VECO) Accumulated Expenses (2010 - 2026)
Veeco Instruments (VECO) posted Accumulated Expenses of $54.09 million for Q2 2026, up 14.1% from $47.41 million a year earlier and up 3.9% from the prior quarter.
Powered by 
Analysis
Veeco Instruments (VECO) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Veeco Instruments' Accumulated Expenses came in at $45.5 million, down 17.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In prior years, Veeco Instruments' Accumulated Expenses was $55.2 million in FY2024 (-4.2%), $57.62 million in FY2023 (+2.8%), $56.03 million in FY2022 (-29.7%) and $79.75 million in FY2021 (+77.7%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses since Q1 2025.
- On a year-over-year basis, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 6.2%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 87.0%; the weakest was Q4 2022, with a decline of 29.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $52.04 million (Q1 2026), $45.5 million (Q4 2025) and $50.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,136.26 Bn | 4,910.42 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,136.54 Bn | 1,761.41 Bn | 27.22 Bn |
| 3 | Broadcom | 1,540.90 Bn | 1,466.94 Bn | 20.46 Bn |
| 4 | Micron Technology | 967.10 Bn | 872.74 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 829.08 Bn | 785.83 Bn | 6.20 Bn |
| 6 | Asml Holding | 608.19 Bn | 563.87 Bn | 5.90 Bn |
| 7 | Intel | 435.73 Bn | 304.86 Bn | 6.51 Bn |
| 8 | Applied Materials | 298.50 Bn | 263.94 Bn | 4.59 Bn |
| 9 | Lam Research | 288.46 Bn | 265.26 Bn | 3.48 Bn |
| 10 | Veeco Instruments | 2.51 Bn | 935.62 Mn | 74.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.09 Mn |
| Mar 31, 2026 | 52.04 Mn |
| Dec 31, 2025 | 45.50 Mn |
| Sep 30, 2025 | 50.22 Mn |
| Jun 30, 2025 | 47.41 Mn |
| Mar 31, 2025 | 62.26 Mn |
| Dec 31, 2024 | 55.20 Mn |
| Sep 30, 2024 | 57.12 Mn |
| Jun 30, 2024 | 50.12 Mn |
| Mar 31, 2024 | 59.26 Mn |
| Dec 31, 2023 | 57.62 Mn |
| Sep 30, 2023 | 65.60 Mn |
| Jun 30, 2023 | 61.82 Mn |
| Mar 31, 2023 | 69.49 Mn |
| Dec 31, 2022 | 56.03 Mn |
| Sep 30, 2022 | 65.06 Mn |
| Jun 30, 2022 | 56.92 Mn |
| Mar 31, 2022 | 80.92 Mn |
| Dec 31, 2021 | 79.75 Mn |
| Sep 30, 2021 | 76.03 Mn |
API Access
Veeco Instruments Accumulated 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=accumulated-expenses&ticker=VECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();