Greystone Logistics (GLGI) Operating Expenses (2010 - 2026)
Greystone Logistics (GLGI) reported Operating Expenses of $1.86 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 3.2% from $1.92 million a year earlier but up 54.7% from the prior quarter.
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Analysis
Greystone Logistics (GLGI) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Greystone Logistics posted Operating Expenses of $6.05 million, down 6.6% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $6.48 million in FY2025 (+25.3%), $5.17 million in FY2024 (+1.3%), $5.1 million in FY2023 (-1.9%) and $5.2 million in FY2022 (unchanged).
- Five-year quarterly Operating Expenses spans a low of $1.11 million in fiscal Q1 2023 and a high of $1.92 million in fiscal Q4 2025.
- Year over year, Operating Expenses has now declined in each of the last four quarters, with growth averaging 9.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2025 (growth of 50.1%); the low point was fiscal Q4 2022 (a decline of 25.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.2 million (Q3 2026), $1.34 million (Q2 2026) and $1.54 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | 1.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.86 Mn |
| Feb 28, 2026 | 1.20 Mn |
| Nov 30, 2025 | 1.34 Mn |
| Aug 31, 2025 | 1.54 Mn |
| May 31, 2025 | 1.92 Mn |
| Feb 28, 2025 | 1.37 Mn |
| Nov 30, 2024 | 1.36 Mn |
| Aug 31, 2024 | 1.82 Mn |
| May 31, 2024 | 1.30 Mn |
| Feb 29, 2024 | 1.28 Mn |
| Nov 30, 2023 | 1.37 Mn |
| Aug 31, 2023 | 1.21 Mn |
| May 31, 2023 | 1.18 Mn |
| Feb 28, 2023 | 1.61 Mn |
| Nov 30, 2022 | 1.21 Mn |
| Aug 31, 2022 | 1.11 Mn |
| May 31, 2022 | 1.17 Mn |
| Feb 28, 2022 | 1.68 Mn |
| Nov 30, 2021 | 1.13 Mn |
| Aug 31, 2021 | 1.22 Mn |
API Access
Greystone Logistics 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=GLGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GLGI", "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=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();