Greystone Logistics (GLGI) Operating Margin (2010 - 2026)
Greystone Logistics' Operating Margin was -39.36% in fiscal Q4 2026 (quarter ended May 31, 2026), down 51.09 percentage points from 11.73% a year earlier but up 37.32 percentage points from the prior quarter.
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Analysis
Greystone Logistics (GLGI) Operating Margin (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Operating Margin at Greystone Logistics came in at -28.21%, down 35.66 percentage points from FY2025.
- Operating Margin shows a five-year change of -37.84 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin was 7.45% in FY2025 (-4.10 pp), 11.56% in FY2024 (+4.59 pp), 6.96% in FY2023 (+3.49 pp) and 3.47% in FY2022 (-6.16 pp).
- Quarterly Operating Margin has moved between -76.69% (fiscal Q3 2026) and 16.26% (fiscal Q1 2024) over five years.
- Compared with a year earlier, Operating Margin has declined for five straight quarters, with an average year-over-year change of -24.28 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q2 2024 (a gain of 11.17 percentage points); the worst was fiscal Q3 2026 (a drop of 86.21 percentage points).
- Per Business Quant data, GLGI's Operating Margin in the three fiscal quarters before Q4 2026 was -76.69% (Q3 2026), -21.77% (Q2 2026) and -11.41% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 26.67% |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | -39.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -39.36% |
| Feb 28, 2026 | -76.69% |
| Nov 30, 2025 | -21.77% |
| Aug 31, 2025 | -11.41% |
| May 31, 2025 | 11.73% |
| Feb 28, 2025 | 9.52% |
| Nov 30, 2024 | 0.16% |
| Aug 31, 2024 | 6.13% |
| May 31, 2024 | 13.23% |
| Feb 29, 2024 | 4.22% |
| Nov 30, 2023 | 11.31% |
| Aug 31, 2023 | 16.26% |
| May 31, 2023 | 13.06% |
| Feb 28, 2023 | 5.53% |
| Nov 30, 2022 | 0.14% |
| Aug 31, 2022 | 7.16% |
| May 31, 2022 | 6.88% |
| Feb 28, 2022 | 4.61% |
| Nov 30, 2021 | -0.99% |
| Aug 31, 2021 | 1.65% |
API Access
Greystone Logistics Operating 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=operating-margin&ticker=GLGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();