Vestand Inc. (VSTD) Operating Expenses (2021 - 2025)
Vestand (VSTD) recorded Operating Expenses of $4.1 million in Q2 2025, up 32.1% from $3.1 million a year earlier and up 20.0% from the prior quarter.
Vestand Inc. (VSTD) Operating Expenses (2021 - 2025) Analysis & Trends
On a TTM basis, Vestand's Operating Expenses came in at $13.15 million as of Jun 30, 2025, up 28.7% year-over-year; for FY2024, it was $11.32 million, up 27.9% from FY2023.
- Annual Operating Expenses has increased for three straight years, with a three-year compound annual growth rate of 21.4% (FY2021 to FY2024).
- Across earlier years, Operating Expenses came in at $8.85 million in FY2023 (+9.0%), $8.12 million in FY2022 (+28.4%) and $6.32 million in FY2021.
- The Q2 2025 figure is the highest quarterly Operating Expenses in data going back to Q3 2021.
- On a year-over-year basis, Operating Expenses has increased for six consecutive quarters, with growth averaging 26.2% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 58.2% in Q2 2024, against a decline of 4.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.42 million (Q1 2025), $2.58 million (Q4 2024) and $3.06 million (Q3 2024).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 4.10 Mn |
| Mar 31, 2025 | 3.42 Mn |
| Dec 31, 2024 | 2.58 Mn |
| Sep 30, 2024 | 3.06 Mn |
| Jun 30, 2024 | 3.10 Mn |
| Mar 31, 2024 | 2.59 Mn |
| Dec 31, 2023 | 2.28 Mn |
| Sep 30, 2023 | 2.24 Mn |
| Jun 30, 2023 | 1.96 Mn |
| Mar 31, 2023 | 2.36 Mn |
| Dec 31, 2022 | 2.30 Mn |
| Sep 30, 2022 | 1.73 Mn |
| Jun 30, 2022 | 1.69 Mn |
| Mar 31, 2022 | 2.39 Mn |
| Dec 31, 2021 | 2.41 Mn |
| Sep 30, 2021 | 1.50 Mn |
Vestand Inc. 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=VSTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VSTD", "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=VSTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();