Greystone Logistics (GLGI) Capital Expenditures (2010 - 2026)
Greystone Logistics (GLGI) reported Capital Expenditures of $220,143 for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 50.2% from $441,739 a year earlier but up 24.5% from the prior quarter.
Greystone Logistics (GLGI) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Greystone Logistics' Capital Expenditures came in at $1.75 million, down 38.7% year-over-year; for FY2026 (ended May 31, 2026), it came in at $1.97 million, down 65.7% from FY2025.
- Capital Expenditures has a five-year compound annual growth rate of -7.4% (FY2021 to FY2026).
- By fiscal year, Capital Expenditures came in at $5.75 million in FY2025 (+105.4%), $2.8 million in FY2024 (-69.5%), $9.18 million in FY2023 (+49.7%) and $6.13 million in FY2022 (+111.0%).
- Five-year quarterly Capital Expenditures spans a low of $176,852 in fiscal Q4 2026 and a high of $5.98 million in fiscal Q4 2023.
- Year over year, Capital Expenditures has now declined in each of the last seven quarters, with an average decline of 27.1% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q1 2025 (growth of 395.6%); the low point was fiscal Q4 2024 (a decline of 87.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $176,852 (Q4 2026), $355,796 (Q3 2026) and $998,654 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 1.06 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 457.20 Mn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 903.00 Mn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 275.00 Mn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 109.00 Mn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 256.00 Mn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 102.00 Mn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 102.00 Mn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 139.10 Mn |
| 10 | Greystone Logistics | 3.68 Mn | 1.68 Mn | -778,804.00 | 220,143.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 220,143.00 |
| May 31, 2026 | 176,852.00 |
| Feb 28, 2026 | 355,796.00 |
| Nov 30, 2025 | 998,654.00 |
| Aug 31, 2025 | 441,739.00 |
| May 31, 2025 | 690,129.00 |
| Feb 28, 2025 | 541,545.00 |
| Nov 30, 2024 | 1.19 Mn |
| Aug 31, 2024 | 3.34 Mn |
| May 31, 2024 | 760,602.00 |
| Feb 29, 2024 | 694,896.00 |
| Nov 30, 2023 | 672,799.00 |
| Aug 31, 2023 | 673,081.00 |
| May 31, 2023 | 5.98 Mn |
| Feb 28, 2023 | 1.40 Mn |
| Nov 30, 2022 | 653,611.00 |
| Aug 31, 2022 | 1.15 Mn |
| May 31, 2022 | 1.25 Mn |
| Feb 28, 2022 | 3.34 Mn |
| Nov 30, 2021 | 879,385.00 |
Greystone Logistics Capital Expenditures 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=capital-expenditures&ticker=GLGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();