Autozi Internet Technology (Global) (AZI) Accumulated Expenses (2023 - 2026)
Autozi Internet Technology (Global) (AZI) posted Accumulated Expenses of $15.3 million for the quarter ended Mar 31, 2026, down 4.5% from $16.03 million a year earlier.
Autozi Internet Technology (Global) (AZI) Accumulated Expenses (2023 - 2026) Analysis & Trends
As of Sep 30, 2025, Autozi Internet Technology (Global)'s Accumulated Expenses came in at $13.91 million, down 19.1% from the prior year.
- In prior years, Autozi Internet Technology (Global)'s Accumulated Expenses was $17.19 million in the year ended Sep 30, 2024 (+49.7%) and $11.49 million in the year ended Sep 30, 2023.
- Quarterly Accumulated Expenses has run from a low of $11.49 million in the quarter ended Sep 30, 2023 to a high of $17.19 million in the quarter ended Sep 30, 2024 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Autozi Internet Technology (Global) | 526,445.53 | 11.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 15.30 Mn |
| Sep 30, 2025 | 13.91 Mn |
| Mar 31, 2025 | 16.03 Mn |
| Sep 30, 2024 | 17.19 Mn |
| Sep 30, 2023 | 11.49 Mn |
Autozi Internet Technology (Global) 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=AZI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AZI", "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=AZI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();