Aura Systems (AUSI) Total Liabilities (2011 - 2026)
Aura Systems (AUSI) recorded Total Liabilities of $46.17 million in fiscal Q4 2026 (quarter ended Feb 28, 2026), up 18.2% from $39.07 million a year earlier and up 20.7% from the prior quarter.
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Analysis
Aura Systems (AUSI) Total Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Aura Systems' Total Liabilities history includes 60 quarters.
- Annual Total Liabilities has increased for three straight fiscal years, with a five-year compound annual growth rate of 14.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $39.07 million in FY2025 (+70.0%), $22.98 million in FY2024 (+4.4%), $22.01 million in FY2023 (-6.0%) and $23.41 million in FY2022 (+1.5%).
- The fiscal Q4 2026 figure is the highest quarterly Total Liabilities since fiscal Q3 2018.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 41.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 84.3% in fiscal Q2 2025, against a decline of 6.7% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $38.24 million (Q3 2026), $44.62 million (Q2 2026) and $40.87 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 13.60 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 11.14 Bn |
| 10 | Aura Systems | 29.59 Mn | 29.43 Mn | 13,000.00 | 46.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 46.17 Mn |
| Nov 30, 2025 | 38.24 Mn |
| Aug 31, 2025 | 44.62 Mn |
| May 31, 2025 | 40.87 Mn |
| Feb 28, 2025 | 39.07 Mn |
| Nov 30, 2024 | 40.99 Mn |
| Aug 31, 2024 | 41.27 Mn |
| May 31, 2024 | 37.51 Mn |
| Feb 29, 2024 | 22.98 Mn |
| Nov 30, 2023 | 22.73 Mn |
| Aug 31, 2023 | 22.40 Mn |
| May 31, 2023 | 22.27 Mn |
| Feb 28, 2023 | 22.01 Mn |
| Nov 30, 2022 | 22.24 Mn |
| Aug 31, 2022 | 21.73 Mn |
| May 31, 2022 | 22.05 Mn |
| Feb 28, 2022 | 23.41 Mn |
| Nov 30, 2021 | 22.39 Mn |
| Aug 31, 2021 | 22.79 Mn |
| May 31, 2021 | 23.30 Mn |
API Access
Aura Systems 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=AUSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AUSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();