Greystone Logistics (GLGI) Total Liabilities (2011 - 2026)
Greystone Logistics (GLGI) recorded Total Liabilities of $26.85 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 7.4% from $25.01 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Greystone Logistics (GLGI) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Greystone Logistics reported Total Liabilities of $25.84 million, down 1.0% from FY2025.
- 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%).
- The fiscal Q1 2027 figure is the highest quarterly Total Liabilities since fiscal Q3 2025.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 5.3%.
- 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 $25.84 million (Q4 2026), $25.09 million (Q3 2026) and $23.8 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 21.81 Bn |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Greystone Logistics | 3.68 Mn | 1.68 Mn | -778,804.00 | 26.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 26.85 Mn |
| 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 |
API Access
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_KEYimport 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();