Vanguard Green Investment (VGES) Operating Expenses (2019 - 2026)
Vanguard Green Investment's Operating Expenses was $18,021 in fiscal Q3 2026 (quarter ended Apr 30, 2026), up 94.7% from $9,257 a year earlier but down 36.9% from the prior quarter.
Vanguard Green Investment (VGES) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vanguard Green Investment's Operating Expenses was $94,480 through Apr 30, 2026, down 1.1% year-over-year; for FY2025 (ended Jul 31, 2025), it was $65,920, down 37.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -38.3% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $105,641 in FY2024 (+55.8%), $67,819 in FY2023 (-84.2%), $428,710 in FY2022 (-7.5%) and $463,641 in FY2021 (-37.1%).
- Quarterly Operating Expenses has moved between -$27,076 (fiscal Q4 2023) and $210,092 (fiscal Q3 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 25.2% over the last seven quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2022 (growth of 166.3%); the worst was fiscal Q3 2023 (a decline of 89.4%).
- Per Business Quant data, VGES's Operating Expenses in the three fiscal quarters before Q3 2026 was $28,581 (Q2 2026), $14,914 (Q1 2026) and $32,964 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 11.15 Bn | 10.15 Bn | 273.50 Mn | 41.78 Mn |
| 2 | New Oriental Education & Technology | 9.40 Bn | -1.74 Bn | 5,600.00 | 1.44 Bn |
| 3 | TAL Education | 6.00 Bn | -6.98 Bn | 438.20 Mn | 301.00 Mn |
| 4 | Laureate Education | 5.33 Bn | 4.63 Bn | 237.67 Mn | 14.24 Mn |
| 5 | Graham Holdings | 5.21 Bn | 307.97 Mn | 392.03 Mn | 1.22 Bn |
| 6 | Covista | 4.46 Bn | 3.59 Bn | 284.63 Mn | 405.94 Mn |
| 7 | Valvoline | 3.97 Bn | 3.68 Bn | 214.90 Mn | 103.10 Mn |
| 8 | Bright Horizons Family Solutions | 3.45 Bn | 2.89 Bn | 188.96 Mn | 108.00 Mn |
| 9 | Stride | 3.29 Bn | 185.42 Mn | 217.28 Mn | 111.43 Mn |
| 10 | Vanguard Green Investment | 33.28 Mn | 33.28 Mn | - | 18,021.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 18,021.00 |
| Jan 31, 2026 | 28,581.00 |
| Oct 31, 2025 | 14,914.00 |
| Jul 31, 2025 | 32,964.00 |
| Apr 30, 2025 | 9,257.00 |
| Jan 31, 2025 | 10,750.00 |
| Oct 31, 2024 | 12,948.00 |
| Jul 31, 2024 | 62,535.00 |
| Apr 30, 2024 | 19,321.00 |
| Jan 31, 2024 | 10,360.00 |
| Oct 31, 2023 | 13,425.00 |
| Jul 31, 2023 | -27,076.00 |
| Apr 30, 2023 | 22,267.00 |
| Jan 31, 2023 | 26,200.00 |
| Oct 31, 2022 | 46,428.00 |
| Jul 31, 2022 | 49,480.00 |
| Apr 30, 2022 | 210,092.00 |
| Jan 31, 2022 | 97,462.00 |
| Oct 31, 2021 | 71,098.00 |
| Jul 31, 2021 | 90,488.00 |
Vanguard Green Investment 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=VGES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VGES", "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=VGES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();