Greystone Logistics (GLGI) Selling, General & Administrative (2010 - 2026)
Greystone Logistics' Selling, General & Administrative was $1.86 million in 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.
Greystone Logistics (GLGI) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Selling, General & Administrative at Greystone Logistics came in at $6.05 million, down 6.6% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $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).
- Quarterly Selling, General & Administrative has moved between $1.11 million (fiscal Q1 2023) and $1.92 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has declined for four straight quarters, with growth averaging 9.0% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q1 2025 (growth of 50.1%); the worst was fiscal Q4 2022 (a decline of 25.3%).
- Per Business Quant data, GLGI's Selling, General & Administrative in the three fiscal quarters before Q4 2026 was $1.2 million (Q3 2026), $1.34 million (Q2 2026) and $1.54 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | 1.86 Mn |
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 |
Greystone Logistics Selling, General & Administrative 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=selling-general-and-administrative&ticker=GLGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();