Greystone Logistics (GLGI) Gross Margin (2010 - 2026)
Greystone Logistics (GLGI) posted Gross Margin of -5.92% for fiscal Q4 2026 (quarter ended May 31, 2026), down 28.35 percentage points from 22.43% a year earlier but up 36.12 percentage points from the prior quarter.
Greystone Logistics (GLGI) Gross Margin (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Greystone Logistics' Gross Margin came in at -6.23%, down 23.60 percentage points from FY2025.
- Annual Gross Margin shows a five-year change of -23.88 percentage points (FY2021 to FY2026).
- In prior fiscal years, Greystone Logistics' Gross Margin was 17.37% in FY2025 (-1.60 pp), 18.96% in FY2024 (+3.60 pp), 15.36% in FY2023 (+4.88 pp) and 10.48% in FY2022 (-7.16 pp).
- Quarterly Gross Margin has run from a low of -42.03% in fiscal Q3 2026 to a high of 23.23% in fiscal Q1 2024 over five years.
- On a year-over-year basis, Gross Margin has declined in each of the last four quarters, with an average year-over-year change of -15.53 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q1 2024, with a gain of 10.23 percentage points; the weakest was fiscal Q3 2026, with a drop of 61.16 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was -42.03% (Q3 2026), -4.51% (Q2 2026) and 2.97% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 37.78% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 40.51% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 36.94% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 33.47% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 39.04% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 37.71% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 54.48% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 41.28% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 44.13% |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | -5.92% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -5.92% |
| Feb 28, 2026 | -42.03% |
| Nov 30, 2025 | -4.51% |
| Aug 31, 2025 | 2.97% |
| May 31, 2025 | 22.43% |
| Feb 28, 2025 | 19.12% |
| Nov 30, 2024 | 11.38% |
| Aug 31, 2024 | 14.14% |
| May 31, 2024 | 18.03% |
| Feb 29, 2024 | 13.35% |
| Nov 30, 2023 | 20.12% |
| Aug 31, 2023 | 23.23% |
| May 31, 2023 | 20.39% |
| Feb 28, 2023 | 17.36% |
| Nov 30, 2022 | 10.10% |
| Aug 31, 2022 | 13.00% |
| May 31, 2022 | 12.41% |
| Feb 28, 2022 | 12.10% |
| Nov 30, 2021 | 6.17% |
| Aug 31, 2021 | 9.90% |
Greystone Logistics Gross Margin 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=gross-margin&ticker=GLGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();