Greystone Logistics (GLGI) Return on Assets [ROA] (2011 - 2026)
Greystone Logistics (GLGI) recorded Return on Assets [ROA] of -26.50% in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 28.55 percentage points from 2.05% a year earlier and down 4.90 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 Q1 2027 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 11 consecutive quarters, with an average year-over-year change of -12.93 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 28.55 percentage points in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -21.61% (Q4 2026), -11.89% (Q3 2026) and -2.24% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 11.29% |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 13.04% |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 4.54% |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 6.87% |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 10.23% |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 9.76% |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 6.12% |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 19.57% |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 12.31% |
| 10 | Greystone Logistics | 3.68 Mn | 1.68 Mn | -778,804.00 | -26.50% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -26.50% |
| 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% |
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();