Inno Holdings (INHD) Return on Sales [ROS] (2022 - 2026)
Inno Holdings' Return on Sales [ROS] came in at -72.96% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 70.71 percentage points from -143.67% a year earlier and up 12.01 percentage points from the prior quarter.
Inno Holdings (INHD) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Inno Holdings reported Return on Sales [ROS] of -67.86%, up 90.70 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -153.27%, down 57.86 percentage points from FY2024.
- Return on Sales [ROS] carries a three-year change of -135.28 percentage points (FY2022 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was -95.41% in FY2024 (+402.75 pp), -498.16% in FY2023 (-480.17 pp) and -17.99% in FY2022.
- The five-year range for quarterly Return on Sales [ROS] is -1435.55% (fiscal Q3 2023) to -33.36% (fiscal Q1 2026).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +140.81 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q3 2024 (a gain of 1022.55 percentage points), and the weakest in fiscal Q1 2024 (a drop of 210.00 percentage points).
- Business Quant data shows INHD's Return on Sales [ROS] at -84.97% (Q2 2026), -33.36% (Q1 2026) and -89.73% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Inno Holdings | 8.02 Mn | -104.44 Mn | 93,424.00 | -72.96% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -72.96% |
| Mar 31, 2026 | -84.97% |
| Dec 31, 2025 | -33.36% |
| Sep 30, 2025 | -89.73% |
| Jun 30, 2025 | -143.67% |
| Mar 31, 2025 | -286.41% |
| Dec 31, 2024 | -233.73% |
| Sep 30, 2024 | -36.77% |
| Jun 30, 2024 | -413.00% |
| Mar 31, 2024 | -150.89% |
| Dec 31, 2023 | -485.90% |
| Sep 30, 2023 | -357.68% |
| Jun 30, 2023 | -1,435.55% |
| Mar 31, 2023 | -644.96% |
| Dec 31, 2022 | -275.90% |
Inno Holdings 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=INHD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "INHD", "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=INHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();