Veea (VEEA) Accumulated Expenses (2021 - 2026)
Veea (VEEA) recorded Accumulated Expenses of $1.98 million in Q2 2026, up 6.8% from $1.85 million a year earlier and up 5.5% from the prior quarter.
Veea (VEEA) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Veea reported Accumulated Expenses of $1.53 million, down 19.9% from FY2024.
- Across earlier years, Accumulated Expenses came in at $1.91 million in FY2024 (-59.7%) and $4.74 million in FY2023.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses since Q3 2024.
- On a year-over-year basis, Accumulated Expenses rose in two of the last five quarters, with an average decline of 14.6%.
- Per Business Quant, the preceding three quarters came in at $1.88 million (Q1 2026), $1.53 million (Q4 2025) and $1.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn |
| 10 | Veea | 12.74 Mn | 9.05 Mn | 137,383.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.98 Mn |
| Mar 31, 2026 | 1.88 Mn |
| Dec 31, 2025 | 1.53 Mn |
| Sep 30, 2025 | 1.20 Mn |
| Jun 30, 2025 | 1.85 Mn |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 1.91 Mn |
| Sep 30, 2024 | 6.25 Mn |
| Dec 31, 2023 | 4.74 Mn |
| Sep 30, 2021 | 100,140.00 |
| Jun 30, 2021 | 103,027.00 |
| Mar 31, 2021 | 993,415.00 |
Veea Accumulated Expenses 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=accumulated-expenses&ticker=VEEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VEEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();