Veeco Instruments (VECO) Change in Inventory (2010 - 2026)
Veeco Instruments (VECO) recorded Change in Inventory of $18.41 million in Q2 2026, up 273.3% from $4.93 million a year earlier and up 165.6% from the prior quarter.
Veeco Instruments (VECO) Change in Inventory (2010 - 2026) Analysis & Trends
On a TTM basis, Veeco Instruments' Change in Inventory came in at $41.66 million as of Jun 30, 2026, up 200.2% year-over-year; for FY2025, it came in at $28.56 million, up 243.8% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at $8.31 million in FY2024 (-76.4%), $35.16 million in FY2023 (-5.7%), $37.29 million in FY2022 (+50.3%) and $24.8 million in FY2021 (+115.2%).
- The Q2 2026 figure is the highest quarterly Change in Inventory since Q2 2023.
- On a year-over-year basis, Change in Inventory rose in four of the last five quarters, with growth averaging 129.4%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 273.3% in Q2 2026, against a decline of 90.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.93 million (Q1 2026), $11.99 million (Q4 2025) and $4.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 5.78 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | -2.34 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 195.00 Mn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 1.81 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 423.00 Mn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 66.00 Mn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 208.00 Mn |
| 10 | Veeco Instruments | 2.66 Bn | 1.09 Bn | 74.83 Mn | 18.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.41 Mn |
| Mar 31, 2026 | 6.93 Mn |
| Dec 31, 2025 | 11.99 Mn |
| Sep 30, 2025 | 4.33 Mn |
| Jun 30, 2025 | 4.93 Mn |
| Mar 31, 2025 | 7.32 Mn |
| Dec 31, 2024 | 4.61 Mn |
| Sep 30, 2024 | -2.99 Mn |
| Jun 30, 2024 | 1.84 Mn |
| Mar 31, 2024 | 4.84 Mn |
| Dec 31, 2023 | -13.96 Mn |
| Sep 30, 2023 | 4.58 Mn |
| Jun 30, 2023 | 18.78 Mn |
| Mar 31, 2023 | 25.76 Mn |
| Dec 31, 2022 | 19.17 Mn |
| Sep 30, 2022 | 12.24 Mn |
| Jun 30, 2022 | -2.38 Mn |
| Mar 31, 2022 | 8.25 Mn |
| Dec 31, 2021 | -76,000.00 |
| Sep 30, 2021 | 6.58 Mn |
Veeco Instruments Change in Inventory 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=change-in-inventory&ticker=VECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();