Aura Systems (AUSI) Return on Sales [ROS] (2011 - 2026)
Aura Systems' Return on Sales [ROS] was -7984.62% in fiscal Q4 2026 (quarter ended Feb 28, 2026), up 1643.38 percentage points from -9628.00% a year earlier but down 6928.37 percentage points from the prior quarter.
Aura Systems (AUSI) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
For FY2026 (ended Feb 28, 2026), Return on Sales [ROS] at Aura Systems came in at -1250.00%, up 8378.00 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +299.92 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -9628.00% in FY2025 (-4699.43 pp), -4928.57% in FY2024 (+5.23 pp), -4933.80% in FY2023 (-1503.80 pp) and -3430.00% in FY2022 (-1880.08 pp).
- Quarterly Return on Sales [ROS] has moved between -85000.00% (fiscal Q4 2023) and -365.95% (fiscal Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of +871.07 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2026 (a gain of 80677.66 percentage points); the worst was fiscal Q4 2023 (a drop of 78293.08 percentage points).
- Per Business Quant data, AUSI's Return on Sales [ROS] in the three fiscal quarters before Q4 2026 was -1056.25% (Q3 2026), -1755.68% (Q2 2026) and -365.95% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 15.14% |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 19.48% |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 26.67% |
| 10 | Aura Systems | 29.59 Mn | 29.43 Mn | 13,000.00 | -7,984.62% |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | -7,984.62% |
| Nov 30, 2025 | -1,056.25% |
| Aug 31, 2025 | -1,755.68% |
| May 31, 2025 | -365.95% |
| Feb 28, 2025 | -9,628.00% |
| Nov 30, 2024 | -9,748.98% |
| Aug 31, 2024 | -82,433.33% |
| May 31, 2024 | -1,455.32% |
| Feb 29, 2024 | -4,926.79% |
| Nov 30, 2023 | -1,231.91% |
| Aug 31, 2023 | -4,772.31% |
| May 31, 2023 | -7,200.00% |
| Feb 28, 2023 | -85,000.00% |
| Nov 30, 2022 | -1,524.07% |
| Aug 31, 2022 | -8,060.00% |
| May 31, 2022 | -17,066.67% |
| Feb 28, 2022 | -6,706.92% |
| Nov 30, 2021 | -1,631.83% |
| Aug 31, 2021 | -26,879.69% |
| May 31, 2021 | -3,521.57% |
Aura Systems Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AUSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AUSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();