Veea (VEEAW) Change in Accrued Expenses (2021 - 2026)
Veea (VEEAW) recorded Change in Accrued Expenses of $365,320 in Q2 2026, down 55.3% from $817,352 a year earlier and down 57.0% from the prior quarter.
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Analysis
Veea (VEEAW) Change in Accrued Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Veea's Change in Accrued Expenses came in at $1.71 million as of Jun 30, 2026, up 368.1% year-over-year; for FY2025, it came in at $482,284, down 59.3% from FY2024.
- Annual Change in Accrued Expenses has declined for three straight years, with a four-year compound annual growth rate of -17.8% (FY2021 to FY2025).
- Across earlier years, Change in Accrued Expenses came in at $1.18 million in FY2024 (-14.6%), $1.39 million in FY2023 (-12.5%), $1.58 million in FY2022 (+50.1%) and $1.06 million in FY2021.
- Quarterly Change in Accrued Expenses has ranged from -$943,226 in Q3 2023 to $1.23 million in Q2 2022 over the past five years.
- Per Business Quant, the preceding three quarters came in at $850,082 (Q1 2026), $698,984 (Q4 2025) and -$204,658 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 365,320.00 |
| Mar 31, 2026 | 850,082.00 |
| Dec 31, 2025 | 698,984.00 |
| Sep 30, 2025 | -204,658.00 |
| Jun 30, 2025 | 817,352.00 |
| Mar 31, 2025 | -829,394.00 |
| Dec 31, 2024 | -434,930.00 |
| Sep 30, 2024 | 812,190.00 |
| Jun 30, 2024 | 439,481.00 |
| Mar 31, 2024 | 367,210.00 |
| Dec 31, 2023 | 1.12 Mn |
| Sep 30, 2023 | -943,226.00 |
| Jun 30, 2023 | 269,158.00 |
| Mar 31, 2023 | 944,041.00 |
| Dec 31, 2022 | 6,561.00 |
| Sep 30, 2022 | 308,767.00 |
| Jun 30, 2022 | 1.23 Mn |
| Mar 31, 2022 | 35,043.00 |
| Dec 31, 2021 | 955,796.00 |
| Sep 30, 2021 | -2,887.00 |
API Access
Veea Change in Accrued 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=change-in-accured-expenses&ticker=VEEAW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=VEEAW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();