Veeco Instruments (VECO) Total Liabilities (2010 - 2026)
Veeco Instruments (VECO) recorded Total Liabilities of $511.68 million in Q2 2026, up 22.3% from $418.51 million a year earlier and up 9.0% from the prior quarter.
Veeco Instruments (VECO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Veeco Instruments reported Total Liabilities of $440.29 million, down 8.4% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $480.81 million in FY2024 (-13.6%), $556.6 million in FY2023 (+1.1%), $550.36 million in FY2022 (+19.3%) and $461.35 million in FY2021 (-5.8%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q3 2024.
- On a year-over-year basis, Total Liabilities rose in two of the last eight quarters, with an average decline of 8.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 24.2% in Q2 2023, against a decline of 21.4% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $469.31 million (Q1 2026), $440.29 million (Q4 2025) and $413.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Veeco Instruments | 2.66 Bn | 1.09 Bn | 74.83 Mn | 511.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 511.68 Mn |
| Mar 31, 2026 | 469.31 Mn |
| Dec 31, 2025 | 440.29 Mn |
| Sep 30, 2025 | 413.94 Mn |
| Jun 30, 2025 | 418.51 Mn |
| Mar 31, 2025 | 466.97 Mn |
| Dec 31, 2024 | 480.81 Mn |
| Sep 30, 2024 | 526.35 Mn |
| Jun 30, 2024 | 520.10 Mn |
| Mar 31, 2024 | 545.78 Mn |
| Dec 31, 2023 | 556.60 Mn |
| Sep 30, 2023 | 601.75 Mn |
| Jun 30, 2023 | 615.85 Mn |
| Mar 31, 2023 | 581.69 Mn |
| Dec 31, 2022 | 550.36 Mn |
| Sep 30, 2022 | 555.50 Mn |
| Jun 30, 2022 | 495.92 Mn |
| Mar 31, 2022 | 516.79 Mn |
| Dec 31, 2021 | 461.35 Mn |
| Sep 30, 2021 | 562.50 Mn |
Veeco Instruments Total Liabilities 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=total-liabilities&ticker=VECO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();