Greystone Logistics (GLGI) Return on Sales [ROS] (2010 - 2026)
Greystone Logistics (GLGI) recorded Return on Sales [ROS] of -35.37% in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 23.96 percentage points from -11.41% a year earlier but up 3.99 percentage points from the prior quarter.
Greystone Logistics (GLGI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Greystone Logistics' Return on Sales [ROS] came in at -38.08% as of Aug 31, 2026, down 42.19 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was -28.21%, down 35.66 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -37.84 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 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 Return on Sales [ROS] has ranged from -76.69% in fiscal Q3 2026 to 16.26% in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -26.01 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 11.17 percentage points in fiscal Q2 2024, against a drop of 86.21 percentage points in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -39.36% (Q4 2026), -76.69% (Q3 2026) and -21.77% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 22.81% |
| 10 | Greystone Logistics | 3.68 Mn | 1.68 Mn | -778,804.00 | -35.37% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -35.37% |
| 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% |
Greystone Logistics Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=GLGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();