Greystone Logistics (GLGI) Cost of Revenue (2010 - 2026)
Greystone Logistics (GLGI) reported Cost of Revenue of $5.89 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 57.7% from $13.93 million a year earlier but up 19.5% from the prior quarter.
Greystone Logistics (GLGI) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Greystone Logistics posted Cost of Revenue of $29.25 million, down 38.8% from FY2025.
- Cost of Revenue has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -11.4% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $47.82 million in FY2025 (-4.5%), $50.07 million in FY2024 (-2.6%), $51.43 million in FY2023 (-22.5%) and $66.4 million in FY2022 (+24.2%).
- Five-year quarterly Cost of Revenue spans a low of $4.93 million in fiscal Q3 2026 and a high of $19.73 million in fiscal Q3 2022.
- Year over year, Cost of Revenue has now declined in each of the last four quarters, with an average decline of 20.8% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2022 (growth of 65.1%); the low point was fiscal Q4 2026 (a decline of 57.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $4.93 million (Q3 2026), $8.12 million (Q2 2026) and $10.41 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Greystone Logistics | 6.82 Mn | 2.83 Mn | -329,147.00 | 5.89 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 5.89 Mn |
| Feb 28, 2026 | 4.93 Mn |
| Nov 30, 2025 | 8.12 Mn |
| Aug 31, 2025 | 10.41 Mn |
| May 31, 2025 | 13.93 Mn |
| Feb 28, 2025 | 11.58 Mn |
| Nov 30, 2024 | 10.75 Mn |
| Aug 31, 2024 | 11.56 Mn |
| May 31, 2024 | 12.12 Mn |
| Feb 29, 2024 | 12.11 Mn |
| Nov 30, 2023 | 12.46 Mn |
| Aug 31, 2023 | 13.37 Mn |
| May 31, 2023 | 12.84 Mn |
| Feb 28, 2023 | 11.22 Mn |
| Nov 30, 2022 | 10.88 Mn |
| Aug 31, 2022 | 16.49 Mn |
| May 31, 2022 | 18.48 Mn |
| Feb 28, 2022 | 19.73 Mn |
| Nov 30, 2021 | 14.87 Mn |
| Aug 31, 2021 | 13.31 Mn |
Greystone Logistics Cost of Revenue 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=cost-of-revenue&ticker=GLGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();