Inno Holdings (INHD) Other Operating Expenses (2022 - 2024)
Inno Holdings' Other Operating Expenses came in at $3,514 for FY2025 (year ended Sep 30, 2025), compared with -$87,116 in FY2024.
Analysis
Inno Holdings (INHD) Other Operating Expenses (2022 - 2024) Analysis & Trends
Going back to FY2022, Inno Holdings' Other Operating Expenses data covers 4 fiscal years.
- Other Operating Expenses carries a three-year compound annual growth rate of -89.5% (FY2022 to FY2025).
- The five-year range for annual Other Operating Expenses is -$87,116 (FY2024) to $3.03 million (FY2022).
- Per Business Quant, earlier fiscal years put Other Operating Expenses at -$87,116 in FY2024, $2.52 million in FY2023 (-16.8%) and $3.03 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Inno Holdings | 8.37 Mn | -104.09 Mn | 93,424.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -16,695.00 |
| Sep 30, 2024 | -21,388.00 |
| Jun 30, 2024 | -22,405.00 |
| Mar 31, 2024 | -22,263.00 |
| Sep 30, 2023 | 782,605.00 |
| Jun 30, 2023 | 971,246.00 |
| Mar 31, 2023 | 85,012.00 |
| Dec 31, 2022 | 684,412.00 |
API Access
Inno Holdings Other Operating Expenses 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=other-operating-expenses&ticker=INHD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=INHD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();