Veea (VEEA) Operating Expenses (2021 - 2026)
Veea (VEEA) posted Operating Expenses of $7.28 million for Q2 2026, up 46.0% from $4.99 million a year earlier and up 40.4% from the prior quarter.
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Analysis
Veea (VEEA) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Veea was $20.7 million, down 74.9% year-over-year; for FY2025, it came in at $18.99 million, down 77.4% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 59.7% (FY2021 to FY2025).
- In prior years, Veea's Operating Expenses was $84.14 million in FY2024 (+343.6%), $18.97 million in FY2023 (+365.5%), $4.07 million in FY2022 (+39.7%) and $2.92 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with growth averaging 119.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 921.6%; the weakest was Q3 2025, with a decline of 91.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $5.19 million (Q1 2026), $3.48 million (Q4 2025) and $4.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Veea | 6.19 Mn | 2.51 Mn | 137,383.00 | 7.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.28 Mn |
| Mar 31, 2026 | 5.19 Mn |
| Dec 31, 2025 | 3.48 Mn |
| Sep 30, 2025 | 4.75 Mn |
| Jun 30, 2025 | 4.99 Mn |
| Mar 31, 2025 | 5.77 Mn |
| Dec 31, 2024 | 14.19 Mn |
| Sep 30, 2024 | 57.53 Mn |
| Jun 30, 2024 | 6.85 Mn |
| Mar 31, 2024 | 6.10 Mn |
| Dec 31, 2023 | 4.76 Mn |
| Sep 30, 2023 | 5.63 Mn |
| Jun 30, 2023 | 578,954.00 |
| Mar 31, 2023 | 1.15 Mn |
| Dec 31, 2022 | 1.39 Mn |
| Sep 30, 2022 | 633,050.00 |
| Jun 30, 2022 | 1.54 Mn |
| Mar 31, 2022 | 509,076.00 |
| Dec 31, 2021 | 1.52 Mn |
| Sep 30, 2021 | 481,907.00 |
API Access
Veea Operating 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=operating-expenses&ticker=VEEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=VEEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();