Greystone Logistics (GLGI) Return on Capital Employed [ROCE] (2011 - 2026)
Greystone Logistics (GLGI) recorded Return on Capital Employed [ROCE] of -33.05% in fiscal Q4 2026 (quarter ended May 31, 2026), down 43.51 percentage points from 10.46% a year earlier and down 18.97 percentage points from the prior quarter.
Greystone Logistics (GLGI) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Greystone Logistics reported Return on Capital Employed [ROCE] of -28.72%, down 38.86 percentage points from FY2025.
- Annual Return on Capital Employed [ROCE] has a five-year change of -49.65 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at 10.15% in FY2025 (-6.19 pp), 16.33% in FY2024 (+6.17 pp), 10.17% in FY2023 (+0.14 pp) and 10.03% in FY2022 (-10.91 pp).
- The fiscal Q4 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q1 2012.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for eight consecutive quarters, with an average year-over-year change of -12.81 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 7.15 percentage points in fiscal Q3 2024, against a drop of 43.51 percentage points in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -14.09% (Q3 2026), 1.53% (Q2 2026) and 5.92% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 41.86% |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | -33.05% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -33.05% |
| Feb 28, 2026 | -14.09% |
| Nov 30, 2025 | 1.53% |
| Aug 31, 2025 | 5.92% |
| May 31, 2025 | 10.46% |
| Feb 28, 2025 | 9.95% |
| Nov 30, 2024 | 7.63% |
| Aug 31, 2024 | 11.34% |
| May 31, 2024 | 15.97% |
| Feb 29, 2024 | 16.69% |
| Nov 30, 2023 | 16.89% |
| Aug 31, 2023 | 13.20% |
| May 31, 2023 | 10.20% |
| Feb 28, 2023 | 9.53% |
| Nov 30, 2022 | 9.94% |
| Aug 31, 2022 | 10.70% |
| May 31, 2022 | 8.82% |
| Feb 28, 2022 | 8.11% |
| Nov 30, 2021 | 12.70% |
| Aug 31, 2021 | 16.57% |
Greystone Logistics Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=GLGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();