Azio Ai Holdings (AZIO) Change in Accured Expenses (2016 - 2026)
Azio Ai Holdings (AZIO) posted Change in Accured Expenses of -$299,862 for Q2 2026, compared with -$155,672 a year earlier.
Azio Ai Holdings (AZIO) Change in Accured Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Azio Ai Holdings was $3.23 million, down 24.7% year-over-year; for FY2025, it was $3.43 million, down 28.0% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- In prior years, Azio Ai Holdings' Change in Accured Expenses was $4.76 million in FY2024, -$189,654 in FY2023, -$305,065 in FY2022 and -$10,229 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Change in Accured Expenses since Q1 2022.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last five quarters, with growth averaging 190.5%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2024, with growth of 890.0%; the weakest was Q3 2023, with a decline of 80.6%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $68,986 (Q1 2026), $2.73 million (Q4 2025) and $732,705 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 715.00 Mn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 117.60 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 191.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 57.00 Mn |
| 10 | Azio Ai Holdings | 16.14 Mn | 13.55 Mn | 71,329.00 | -299,862.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -299,862.00 |
| Mar 31, 2026 | 68,986.00 |
| Dec 31, 2025 | 2.73 Mn |
| Sep 30, 2025 | 732,705.00 |
| Jun 30, 2025 | -155,672.00 |
| Mar 31, 2025 | 123,006.00 |
| Dec 31, 2024 | 4.06 Mn |
| Sep 30, 2024 | 261,925.00 |
| Jun 30, 2024 | 230,652.00 |
| Mar 31, 2024 | 207,437.00 |
| Dec 31, 2023 | 48,376.00 |
| Sep 30, 2023 | 26,456.00 |
| Jun 30, 2023 | 30,190.00 |
| Mar 31, 2023 | -294,676.00 |
| Dec 31, 2022 | -110,158.00 |
| Sep 30, 2022 | 136,557.00 |
| Jun 30, 2022 | -205.00 |
| Mar 31, 2022 | -331,259.00 |
| Dec 31, 2021 | 1.72 Mn |
| Sep 30, 2021 | 66,312.00 |
Azio Ai Holdings Change in Accured 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=change-in-accured-expenses&ticker=AZIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "AZIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=AZIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();