iOThree (IOTR) Accumulated Expenses (2024 - 2026)
Analysis
iOThree (IOTR) Accumulated Expenses (2024 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn |
| 10 | iOThree | 4.32 Mn | -83,866.93 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 330,381.00 |
| Sep 30, 2025 | 99,993.00 |
| Mar 31, 2025 | 159,889.00 |
| Mar 31, 2024 | 147,741.00 |
API Access
iOThree Accumulated 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=accumulated-expenses&ticker=IOTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "IOTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=IOTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();