Veeco Instruments (VECO) EBITDA (2010 - 2026)
Veeco Instruments (VECO) posted EBITDA of $16.76 million for Q2 2026, down 4.1% from $17.47 million a year earlier but up 604.4% from the prior quarter.
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Analysis
Veeco Instruments (VECO) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Veeco Instruments was $38.21 million, down 50.4% year-over-year; for FY2025, it came in at $55.73 million, down 39.5% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In prior years, Veeco Instruments' EBITDA was $92.12 million in FY2024 (-2.9%), $94.91 million in FY2023 (+10.4%), $85.94 million in FY2022 (+3.8%) and $82.77 million in FY2021 (+55.4%).
- Quarterly EBITDA has run from a low of $2.38 million in Q1 2026 to a high of $30.53 million in Q4 2023 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last seven quarters, with an average decline of 40.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2024, with growth of 76.9%; the weakest was Q1 2026, with a decline of 87.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $2.38 million (Q1 2026), $3.62 million (Q4 2025) and $15.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 30.46 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 18.23 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 46.39 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Veeco Instruments | 2.66 Bn | 1.09 Bn | 74.83 Mn | 17.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.05 Mn |
| Mar 31, 2026 | 2.62 Mn |
| Dec 31, 2025 | 3.90 Mn |
| Sep 30, 2025 | 15.74 Mn |
| Jun 30, 2025 | 17.76 Mn |
| Mar 31, 2025 | 19.44 Mn |
| Dec 31, 2024 | 10.18 Mn |
| Sep 30, 2024 | 30.81 Mn |
| Jun 30, 2024 | 23.64 Mn |
| Mar 31, 2024 | 28.75 Mn |
| Dec 31, 2023 | 30.83 Mn |
| Sep 30, 2023 | 28.76 Mn |
| Jun 30, 2023 | 20.14 Mn |
| Mar 31, 2023 | 16.31 Mn |
| Dec 31, 2022 | 20.18 Mn |
| Sep 30, 2022 | 24.16 Mn |
| Jun 30, 2022 | 19.57 Mn |
| Mar 31, 2022 | 23.00 Mn |
| Dec 31, 2021 | 27.11 Mn |
| Sep 30, 2021 | 26.52 Mn |
API Access
Veeco Instruments EBITDA 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&ticker=VECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();