Greystone Logistics (GLGI) Total Liabilities (2011 - 2026)
Greystone Logistics (GLGI) recorded Total Liabilities of $25.84 million in fiscal Q4 2026 (quarter ended May 31, 2026), down 1.0% from $26.1 million a year earlier but up 3.0% from the prior quarter.
Greystone Logistics (GLGI) Total Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Greystone Logistics' Total Liabilities history includes 56 quarters.
- Annual Total Liabilities has declined for seven straight fiscal years, with a five-year compound annual growth rate of -4.5% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $26.1 million in FY2025 (-7.7%), $28.28 million in FY2024 (-5.7%), $29.99 million in FY2023 (-2.2%) and $30.66 million in FY2022 (-5.6%).
- Quarterly Total Liabilities has ranged from $23.8 million in fiscal Q2 2026 to $39.49 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for nine consecutive quarters, with an average decline of 7.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 27.7% in fiscal Q2 2022, against a decline of 25.5% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $25.09 million (Q3 2026), $23.8 million (Q2 2026) and $25.01 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Greystone Logistics | 7.09 Mn | 3.10 Mn | -329,147.00 | 25.84 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 25.84 Mn |
| Feb 28, 2026 | 25.09 Mn |
| Nov 30, 2025 | 23.80 Mn |
| Aug 31, 2025 | 25.01 Mn |
| May 31, 2025 | 26.10 Mn |
| Feb 28, 2025 | 27.69 Mn |
| Nov 30, 2024 | 26.75 Mn |
| Aug 31, 2024 | 27.34 Mn |
| May 31, 2024 | 28.28 Mn |
| Feb 29, 2024 | 29.41 Mn |
| Nov 30, 2023 | 28.52 Mn |
| Aug 31, 2023 | 29.44 Mn |
| May 31, 2023 | 29.99 Mn |
| Feb 28, 2023 | 27.29 Mn |
| Nov 30, 2022 | 30.04 Mn |
| Aug 31, 2022 | 34.29 Mn |
| May 31, 2022 | 30.66 Mn |
| Feb 28, 2022 | 36.64 Mn |
| Nov 30, 2021 | 39.49 Mn |
| Aug 31, 2021 | 27.84 Mn |
Greystone Logistics Total Liabilities 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=total-liabilities&ticker=GLGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();