Veea (VEEAW) Operating Expenses (2021 - 2026)
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Analysis
Veea (VEEAW) Operating Expenses (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
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=VEEAW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VEEAW", "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=VEEAW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();