Veeco Instruments (VECO) Selling, General & Administrative (2010 - 2026)
Veeco Instruments (VECO) recorded Selling, General & Administrative of $27.63 million in Q2 2026, up 15.5% from $23.93 million a year earlier and up 6.2% from the prior quarter.
Veeco Instruments (VECO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Veeco Instruments' Selling, General & Administrative came in at $103.6 million as of Jun 30, 2026, up 4.3% year-over-year; for FY2025, it was $98.91 million, down 0.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $99.66 million in FY2024 (+7.4%), $92.76 million in FY2023 (+4.3%), $88.95 million in FY2022 (+5.2%) and $84.54 million in FY2021 (+10.9%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q4 2017.
- On a year-over-year basis, Selling, General & Administrative rose in six of the last eight quarters, with growth averaging 4.2%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 15.5% in Q2 2026, against a decline of 9.5% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.02 million (Q1 2026), $22.69 million (Q4 2025) and $27.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn | 859.00 Mn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn | - |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn | 1.18 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn | 162.00 Mn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn | 348.73 Mn |
| 10 | Veeco Instruments | 2.52 Bn | 943.18 Mn | 74.83 Mn | 27.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.63 Mn |
| Mar 31, 2026 | 26.02 Mn |
| Dec 31, 2025 | 22.69 Mn |
| Sep 30, 2025 | 27.26 Mn |
| Jun 30, 2025 | 23.93 Mn |
| Mar 31, 2025 | 25.03 Mn |
| Dec 31, 2024 | 25.08 Mn |
| Sep 30, 2024 | 25.29 Mn |
| Jun 30, 2024 | 24.60 Mn |
| Mar 31, 2024 | 24.70 Mn |
| Dec 31, 2023 | 23.49 Mn |
| Sep 30, 2023 | 22.81 Mn |
| Jun 30, 2023 | 23.82 Mn |
| Mar 31, 2023 | 22.63 Mn |
| Dec 31, 2022 | 20.97 Mn |
| Sep 30, 2022 | 22.14 Mn |
| Jun 30, 2022 | 22.95 Mn |
| Mar 31, 2022 | 22.89 Mn |
| Dec 31, 2021 | 21.21 Mn |
| Sep 30, 2021 | 21.60 Mn |
Veeco Instruments Selling, General & Administrative 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=selling-general-and-administrative&ticker=VECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();