Veeco Instruments (VECO) EBITDA Margin (2010 - 2026)
Veeco Instruments (VECO) recorded EBITDA Margin of 8.66% in Q2 2026, down 1.86 percentage points from 10.52% a year earlier but up 7.16 percentage points from the prior quarter.
Veeco Instruments (VECO) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Veeco Instruments' EBITDA Margin came in at 5.60% as of Jun 30, 2026, down 5.40 percentage points year-over-year; for FY2025, it was 8.39%, down 4.45 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of -3.34 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 12.84% in FY2024 (-1.40 pp), 14.24% in FY2023 (+0.94 pp), 13.30% in FY2022 (-0.89 pp) and 14.19% in FY2021 (+2.46 pp).
- Quarterly EBITDA Margin has ranged from 1.50% in Q1 2026 to 17.55% in Q4 2023 over the past five years.
- On a year-over-year basis, EBITDA Margin has declined for seven consecutive quarters, with an average year-over-year change of -5.19 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 5.83 percentage points in Q1 2024, against a drop of 12.14 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 1.50% (Q1 2026), 2.19% (Q4 2025) and 9.32% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 67.41% |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 75.79% |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 61.62% |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 85.55% |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 23.88% |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 31.13% |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 39.17% |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 35.39% |
| 10 | Veeco Instruments | 2.66 Bn | 1.09 Bn | 74.83 Mn | 8.81% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.81% |
| Mar 31, 2026 | 1.66% |
| Dec 31, 2025 | 2.36% |
| Sep 30, 2025 | 9.49% |
| Jun 30, 2025 | 10.69% |
| Mar 31, 2025 | 11.62% |
| Dec 31, 2024 | 5.59% |
| Sep 30, 2024 | 16.67% |
| Jun 30, 2024 | 13.44% |
| Mar 31, 2024 | 16.47% |
| Dec 31, 2023 | 17.72% |
| Sep 30, 2023 | 16.21% |
| Jun 30, 2023 | 12.46% |
| Mar 31, 2023 | 10.62% |
| Dec 31, 2022 | 13.12% |
| Sep 30, 2022 | 14.05% |
| Jun 30, 2022 | 11.93% |
| Mar 31, 2022 | 14.70% |
| Dec 31, 2021 | 17.72% |
| Sep 30, 2021 | 17.65% |
Veeco Instruments EBITDA Margin 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=ebitda-margin&ticker=VECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();