Greystone Logistics (GLGI) Return on Assets [ROA] (2011 - 2026)
Greystone Logistics (GLGI) recorded Return on Assets [ROA] of -21.61% in fiscal Q4 2026 (quarter ended May 31, 2026), down 26.52 percentage points from 4.91% a year earlier and down 9.72 percentage points from the prior quarter.
Greystone Logistics (GLGI) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Greystone Logistics reported Return on Assets [ROA] of -19.77%, down 24.55 percentage points from FY2025.
- Annual Return on Assets [ROA] has declined for three straight fiscal years, with a five-year change of -27.81 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Assets [ROA] came in at 4.79% in FY2025 (-5.09 pp), 9.88% in FY2024 (-3.53 pp), 13.41% in FY2023 (+3.25 pp) and 10.16% in FY2022 (+2.12 pp).
- The fiscal Q4 2026 figure is the lowest quarterly Return on Assets [ROA] in data going back to fiscal Q1 2012.
- On a year-over-year basis, Return on Assets [ROA] has declined for ten consecutive quarters, with an average year-over-year change of -10.17 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 9.60 percentage points in fiscal Q2 2024, against a drop of 26.52 percentage points in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -11.89% (Q3 2026), -2.24% (Q2 2026) and 2.05% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 10.94% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 11.93% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 4.54% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 6.89% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 11.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.82% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 6.12% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 8.56% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 19.50% |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | -21.61% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -21.61% |
| Feb 28, 2026 | -11.89% |
| Nov 30, 2025 | -2.24% |
| Aug 31, 2025 | 2.05% |
| May 31, 2025 | 4.91% |
| Feb 28, 2025 | 6.22% |
| Nov 30, 2024 | 4.80% |
| Aug 31, 2024 | 6.97% |
| May 31, 2024 | 9.69% |
| Feb 29, 2024 | 8.85% |
| Nov 30, 2023 | 15.66% |
| Aug 31, 2023 | 13.50% |
| May 31, 2023 | 13.45% |
| Feb 28, 2023 | 13.17% |
| Nov 30, 2022 | 6.05% |
| Aug 31, 2022 | 5.89% |
| May 31, 2022 | 9.42% |
| Feb 28, 2022 | 8.27% |
| Nov 30, 2021 | 9.39% |
| Aug 31, 2021 | 13.37% |
Greystone Logistics Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=GLGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();