Veeco Instruments (VECO) Cost of Revenue (2010 - 2026)
Veeco Instruments (VECO) reported Cost of Revenue of $118.65 million for Q2 2026, up 21.8% from $97.38 million a year earlier and up 15.7% from the prior quarter.
Veeco Instruments (VECO) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Veeco Instruments' Cost of Revenue came in at $423.85 million, up 3.4% year-over-year; for FY2025, it was $398.89 million, down 3.5% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $413.3 million in FY2024 (+8.4%), $381.38 million in FY2023 (-0.4%), $382.99 million in FY2022 (+12.3%) and $341 million in FY2021 (+31.2%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue since Q3 2011.
- Year over year, Cost of Revenue gained in four of the last eight quarters, with growth averaging 3.8%.
- The high point for year-over-year Cost of Revenue in five years was Q3 2021 (growth of 38.4%); the low point was Q3 2025 (a decline of 7.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $102.51 million (Q1 2026), $104.51 million (Q4 2025) and $98.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 7.18 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 5.45 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 4.53 Bn |
| 10 | Veeco Instruments | 2.66 Bn | 1.09 Bn | 74.83 Mn | 118.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.65 Mn |
| Mar 31, 2026 | 102.51 Mn |
| Dec 31, 2025 | 104.51 Mn |
| Sep 30, 2025 | 98.18 Mn |
| Jun 30, 2025 | 97.38 Mn |
| Mar 31, 2025 | 98.83 Mn |
| Dec 31, 2024 | 108.15 Mn |
| Sep 30, 2024 | 105.60 Mn |
| Jun 30, 2024 | 100.49 Mn |
| Mar 31, 2024 | 99.07 Mn |
| Dec 31, 2023 | 95.27 Mn |
| Sep 30, 2023 | 100.49 Mn |
| Jun 30, 2023 | 94.13 Mn |
| Mar 31, 2023 | 91.49 Mn |
| Dec 31, 2022 | 90.88 Mn |
| Sep 30, 2022 | 101.96 Mn |
| Jun 30, 2022 | 99.73 Mn |
| Mar 31, 2022 | 90.41 Mn |
| Dec 31, 2021 | 88.95 Mn |
| Sep 30, 2021 | 87.08 Mn |
Veeco Instruments Cost of Revenue 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=cost-of-revenue&ticker=VECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();