Veeco Instruments (VECO) Research & Development (2010 - 2026)
Veeco Instruments' Research & Development was $35.06 million in Q3 2026, up 20.9% from $28.99 million a year earlier and up 5.1% from the prior quarter.
Veeco Instruments (VECO) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Veeco Instruments' Research & Development was $128.86 million through Sep 30, 2026, up 7.4% year-over-year; for FY2025, it was $119.64 million, down 3.9% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In earlier years, Research & Development was $124.51 million in FY2024 (+10.3%), $112.85 million in FY2023 (+9.0%), $103.57 million in FY2022 (+16.8%) and $88.68 million in FY2021 (+12.3%).
- The Q3 2026 figure marks the highest quarterly Research & Development in data going back to Q1 2010.
- Compared with a year earlier, Research & Development has increased for three straight quarters, with growth averaging 2.8% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2022 (growth of 23.2%); the worst was Q3 2025 (a decline of 10.0%).
- Per Business Quant data, VECO's Research & Development in the three quarters before Q3 2026 was $33.34 million (Q2 2026), $29.88 million (Q1 2026) and $30.58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 7.05 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 2.31 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 2.90 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 1.91 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 2.80 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 3.49 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 1.10 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 530.00 Mn |
| 10 | Veeco Instruments | 2.27 Bn | 586.26 Mn | 80.39 Mn | 35.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.06 Mn |
| Jun 30, 2026 | 33.34 Mn |
| Mar 31, 2026 | 29.88 Mn |
| Dec 31, 2025 | 30.58 Mn |
| Sep 30, 2025 | 28.99 Mn |
| Jun 30, 2025 | 31.56 Mn |
| Mar 31, 2025 | 28.51 Mn |
| Dec 31, 2024 | 30.95 Mn |
| Sep 30, 2024 | 32.22 Mn |
| Jun 30, 2024 | 31.70 Mn |
| Mar 31, 2024 | 29.64 Mn |
| Dec 31, 2023 | 29.09 Mn |
| Sep 30, 2023 | 28.82 Mn |
| Jun 30, 2023 | 27.38 Mn |
| Mar 31, 2023 | 27.56 Mn |
| Dec 31, 2022 | 26.33 Mn |
| Sep 30, 2022 | 27.10 Mn |
| Jun 30, 2022 | 26.02 Mn |
| Mar 31, 2022 | 24.12 Mn |
| Dec 31, 2021 | 22.28 Mn |
Veeco Instruments Research & Development 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=research-and-development&ticker=VECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();