Aura Systems (AUSI) Long-Term Debt Repayments (2011 - 2025)
Aura Systems' Long-Term Debt Repayments was $94,000 in fiscal Q3 2026 (quarter ended Nov 30, 2025), compared with -$11,000 a year earlier and up 22.1% from the prior quarter.
Aura Systems (AUSI) Long-Term Debt Repayments (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, Aura Systems' Long-Term Debt Repayments was $285,000 through Nov 30, 2025, up 37.0% year-over-year; for FY2025 (ended Feb 28, 2025), it was $206,000, up 110.2% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $98,000 in FY2024 (-57.0%), $228,000 in FY2023 (+55.1%), $147,000 in FY2022 (+54.7%) and $95,000 in FY2021 (+35.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Long-Term Debt Repayments since fiscal Q1 2025.
- Compared with a year earlier, Long-Term Debt Repayments was higher in four of the last six quarters, with growth averaging 127.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2025 (growth of 520.0%); the worst was fiscal Q2 2024 (a decline of 87.6%).
- Per Business Quant data, AUSI's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $77,000 (Q2 2026), $84,000 (Q1 2026) and $30,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | - |
| 10 | Aura Systems | 29.59 Mn | 29.43 Mn | 13,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 94,000.00 |
| Aug 31, 2025 | 77,000.00 |
| May 31, 2025 | 84,000.00 |
| Feb 28, 2025 | 30,000.00 |
| Nov 30, 2024 | -11,000.00 |
| Aug 31, 2024 | 63,000.00 |
| May 31, 2024 | 124,000.00 |
| Feb 29, 2024 | 32,000.00 |
| Nov 30, 2023 | 25,000.00 |
| Aug 31, 2023 | 21,000.00 |
| May 31, 2023 | 20,000.00 |
| Feb 28, 2023 | 20,000.00 |
| Nov 30, 2022 | 20,000.00 |
| Aug 31, 2022 | 169,000.00 |
| May 31, 2022 | 19,000.00 |
| Feb 28, 2022 | 51,428.00 |
| Nov 30, 2021 | 35,572.00 |
| Aug 31, 2021 | 30,000.00 |
| May 31, 2021 | 30,000.00 |
| Feb 28, 2021 | 30,000.00 |
Aura Systems 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=AUSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "AUSI", "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=AUSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();