Veeco Instruments (VECO) Inventory (2010 - 2026)
Veeco Instruments' Inventory was $292.5 million in Q2 2026, up 12.9% from $258.98 million a year earlier and up 3.6% from the prior quarter.
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Analysis
Veeco Instruments (VECO) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Veeco Instruments came in at $275.3 million, up 11.6% from FY2024.
- Inventory has now increased for six consecutive years, with a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In earlier years, Inventory was $246.74 million in FY2024 (+3.8%), $237.64 million in FY2023 (+14.9%), $206.91 million in FY2022 (+21.1%) and $170.86 million in FY2021 (+17.1%).
- The Q2 2026 figure marks the highest quarterly Inventory in data going back to Q4 2010.
- Compared with a year earlier, Inventory has increased for seven straight quarters, with growth averaging 6.8% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q2 2023 (growth of 38.5%); the worst was Q3 2024 (a decline of 4.0%).
- Per Business Quant data, VECO's Inventory in the three quarters before Q2 2026 was $282.23 million (Q1 2026), $275.3 million (Q4 2025) and $263.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 12.10 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 10.37 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 13.43 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Veeco Instruments | 2.66 Bn | 1.09 Bn | 74.83 Mn | 292.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.50 Mn |
| Mar 31, 2026 | 282.23 Mn |
| Dec 31, 2025 | 275.30 Mn |
| Sep 30, 2025 | 263.31 Mn |
| Jun 30, 2025 | 258.98 Mn |
| Mar 31, 2025 | 254.05 Mn |
| Dec 31, 2024 | 246.74 Mn |
| Sep 30, 2024 | 242.12 Mn |
| Jun 30, 2024 | 245.11 Mn |
| Mar 31, 2024 | 243.27 Mn |
| Dec 31, 2023 | 237.64 Mn |
| Sep 30, 2023 | 252.12 Mn |
| Jun 30, 2023 | 244.47 Mn |
| Mar 31, 2023 | 225.72 Mn |
| Dec 31, 2022 | 206.91 Mn |
| Sep 30, 2022 | 187.74 Mn |
| Jun 30, 2022 | 176.49 Mn |
| Mar 31, 2022 | 179.07 Mn |
| Dec 31, 2021 | 170.86 Mn |
| Sep 30, 2021 | 170.84 Mn |
API Access
Veeco Instruments 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=inventory&ticker=VECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();