Greystone Logistics (GLGI) Enterprise Value (2011 - 2026)
Greystone Logistics' Enterprise Value came in at $6.73 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 79.7% from $33.11 million a year earlier but up 36.2% from the prior quarter.
Greystone Logistics (GLGI) Enterprise Value (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Greystone Logistics reported Enterprise Value of $5.08 million, down 77.8% year-over-year; for FY2026 (ended May 31, 2026), it came in at $4.94 million, down 85.6% from FY2025.
- Enterprise Value carries a five-year compound annual growth rate of -31.4% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $34.3 million in FY2025 (+21.9%), $28.14 million in FY2024 (+22.0%), $23.06 million in FY2023 (+13.6%) and $20.3 million in FY2022 (-37.7%).
- The five-year range for quarterly Enterprise Value is $4.94 million (fiscal Q4 2026) to $40.51 million (fiscal Q1 2025).
- Year-over-year, Enterprise Value has declined for five consecutive quarters, with an average decline of 36.1% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2024 (growth of 133.3%), and the weakest in fiscal Q4 2026 (a decline of 85.6%).
- Business Quant data shows GLGI's Enterprise Value at $4.94 million (Q4 2026), $8.78 million (Q3 2026) and $15.44 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn |
| 10 | Greystone Logistics | 3.68 Mn | 1.68 Mn | -778,804.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 6.73 Mn |
| May 31, 2026 | 4.94 Mn |
| Feb 28, 2026 | 8.78 Mn |
| Nov 30, 2025 | 15.44 Mn |
| Aug 31, 2025 | 33.11 Mn |
| May 31, 2025 | 34.30 Mn |
| Feb 28, 2025 | 23.96 Mn |
| Nov 30, 2024 | 23.39 Mn |
| Aug 31, 2024 | 40.51 Mn |
| May 31, 2024 | 28.14 Mn |
| Feb 29, 2024 | 35.55 Mn |
| Nov 30, 2023 | 22.68 Mn |
| Aug 31, 2023 | 26.35 Mn |
| May 31, 2023 | 23.06 Mn |
| Feb 28, 2023 | 15.24 Mn |
| Nov 30, 2022 | 20.19 Mn |
| Aug 31, 2022 | 19.69 Mn |
| May 31, 2022 | 20.30 Mn |
| Feb 28, 2022 | 17.09 Mn |
| Nov 30, 2021 | 14.75 Mn |
Greystone Logistics Enterprise Value 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=enterprise-value&ticker=GLGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();