Greystone Logistics (GLGI) Long-Term Debt Repayments (2010 - 2026)
Greystone Logistics (GLGI) recorded Long-Term Debt Repayments of $12,565 in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 97.7% from $547,535 a year earlier and down 0.1% from the prior quarter.
Greystone Logistics (GLGI) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Greystone Logistics' Long-Term Debt Repayments came in at $787,756 as of Aug 31, 2026, down 66.5% year-over-year; for FY2026 (ended May 31, 2026), it was $1.32 million, down 44.5% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -25.8% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $2.38 million in FY2025 (+5.7%), $2.26 million in FY2024 (-75.8%), $9.33 million in FY2023 (+63.7%) and $5.7 million in FY2022 (-2.8%).
- The fiscal Q1 2027 figure is the lowest quarterly Long-Term Debt Repayments since fiscal Q4 2013.
- On a year-over-year basis, Long-Term Debt Repayments has declined for six consecutive quarters, with an average decline of 32.4% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 190.8% in fiscal Q1 2023, against a decline of 97.8% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12,577 (Q4 2026), $201,278 (Q3 2026) and $561,336 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 650.00 Mn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Greystone Logistics | 5.73 Mn | 3.72 Mn | -778,804.00 | 12,565.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 12,565.00 |
| May 31, 2026 | 12,577.00 |
| Feb 28, 2026 | 201,278.00 |
| Nov 30, 2025 | 561,336.00 |
| Aug 31, 2025 | 547,535.00 |
| May 31, 2025 | 573,443.00 |
| Feb 28, 2025 | 622,770.00 |
| Nov 30, 2024 | 605,796.00 |
| Aug 31, 2024 | 581,777.00 |
| May 31, 2024 | 588,056.00 |
| Feb 29, 2024 | 564,683.00 |
| Nov 30, 2023 | 555,274.00 |
| Aug 31, 2023 | 548,166.00 |
| May 31, 2023 | 569,937.00 |
| Feb 28, 2023 | 596,193.00 |
| Nov 30, 2022 | 2.14 Mn |
| Aug 31, 2022 | 6.02 Mn |
| May 31, 2022 | 956,615.00 |
| Feb 28, 2022 | 1.32 Mn |
| Nov 30, 2021 | 1.35 Mn |
Greystone Logistics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GLGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GLGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();