Greystone Logistics (GLGI) Return on Equity [ROE] (2017 - 2026)
Greystone Logistics' Return on Equity [ROE] came in at -65.09% for fiscal Q4 2026 (quarter ended May 31, 2026), down 76.31 percentage points from 11.22% a year earlier and down 34.08 percentage points from the prior quarter.
Greystone Logistics (GLGI) Return on Equity [ROE] (2017 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Greystone Logistics' Return on Equity [ROE] was -52.47%, down 63.19 percentage points from FY2025.
- Return on Equity [ROE] has declined in each of the last three fiscal years, with a five-year change of -89.82 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Equity [ROE] was 10.72% in FY2025 (-12.38 pp), 23.10% in FY2024 (-13.80 pp), 36.90% in FY2023 (+2.37 pp) and 34.53% in FY2022 (-2.82 pp).
- The fiscal Q4 2026 figure represents the lowest quarterly Return on Equity [ROE] in data going back to fiscal Q4 2017.
- Year-over-year, Return on Equity [ROE] has declined for ten consecutive quarters, with an average year-over-year change of -26.12 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in fiscal Q2 2024 (a gain of 17.47 percentage points), and the weakest in fiscal Q4 2026 (a drop of 76.31 percentage points).
- Business Quant data shows GLGI's Return on Equity [ROE] at -31.01% (Q3 2026), -5.35% (Q2 2026) and 4.76% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 56.98% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 34.94% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 17.59% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 19.13% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 24.30% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 38.48% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 12.67% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 95.38% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 104.29% |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | -65.09% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -65.09% |
| Feb 28, 2026 | -31.01% |
| Nov 30, 2025 | -5.35% |
| Aug 31, 2025 | 4.76% |
| May 31, 2025 | 11.22% |
| Feb 28, 2025 | 13.60% |
| Nov 30, 2024 | 10.21% |
| Aug 31, 2024 | 15.03% |
| May 31, 2024 | 21.82% |
| Feb 29, 2024 | 20.48% |
| Nov 30, 2023 | 36.71% |
| Aug 31, 2023 | 33.23% |
| May 31, 2023 | 33.88% |
| Feb 28, 2023 | 36.20% |
| Nov 30, 2022 | 19.24% |
| Aug 31, 2022 | 18.66% |
| May 31, 2022 | 31.14% |
| Feb 28, 2022 | 30.69% |
| Nov 30, 2021 | 31.79% |
| Aug 31, 2021 | 44.98% |
Greystone Logistics Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=GLGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();