Veea (VEEA) Total Non-Current Liabilities (2021 - 2026)
Veea (VEEA) posted Total Non-Current Liabilities of $20.8 million for Q2 2026, down 46.4% from $38.8 million a year earlier and down 4.1% from the prior quarter.
Veea (VEEA) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Veea's Total Non-Current Liabilities came in at $34.36 million, down 7.8% from FY2024.
- Annual Total Non-Current Liabilities shows a four-year compound annual growth rate of -43.3% (FY2021 to FY2025).
- In prior years, Veea's Total Non-Current Liabilities was $37.28 million in FY2024 (+21.6%), $30.66 million in FY2023 (-91.3%), $353.96 million in FY2022 (+6.8%) and $331.56 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities in data going back to Q1 2021.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last six quarters, with an average decline of 18.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2024, with growth of 21.6%; the weakest was Q4 2023, with a decline of 91.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $21.69 million (Q1 2026), $34.36 million (Q4 2025) and $30.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 122.54 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 73.69 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 8.46 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 124.65 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 16.26 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 6.85 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 5.32 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 4.09 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 47.78 Bn |
| 10 | Veea | 12.74 Mn | 9.05 Mn | 137,383.00 | 20.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.80 Mn |
| Mar 31, 2026 | 21.69 Mn |
| Dec 31, 2025 | 34.36 Mn |
| Sep 30, 2025 | 30.42 Mn |
| Jun 30, 2025 | 38.80 Mn |
| Mar 31, 2025 | 31.26 Mn |
| Dec 31, 2024 | 37.28 Mn |
| Sep 30, 2024 | 51.74 Mn |
| Jun 30, 2024 | 47.28 Mn |
| Mar 31, 2024 | 36.34 Mn |
| Dec 31, 2023 | 30.66 Mn |
| Sep 30, 2023 | 60.92 Mn |
| Jun 30, 2023 | 84.53 Mn |
| Mar 31, 2023 | 73.69 Mn |
| Dec 31, 2022 | 353.96 Mn |
| Sep 30, 2022 | 335.92 Mn |
| Jun 30, 2022 | 333.89 Mn |
| Mar 31, 2022 | 332.12 Mn |
| Dec 31, 2021 | 331.56 Mn |
| Sep 30, 2021 | 330.57 Mn |
Veea Total Non-Current 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-non-current-liabilities&ticker=VEEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VEEA", "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-non-current-liabilities&ticker=VEEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();