HNO International (HNOI) Change in Accured Expenses (2022 - 2025)
HNO International (HNOI) recorded Change in Accured Expenses of $14,924 in fiscal Q4 2025 (quarter ended Oct 31, 2025).
Analysis
HNO International (HNOI) Change in Accured Expenses (2022 - 2025) Analysis & Trends
For FY2025 (ended Oct 31, 2025), HNO International reported Change in Accured Expenses of -$2,838.
- Across earlier fiscal years, Change in Accured Expenses came in at -$14,802 in FY2024, $26,545 in FY2023 (+80.3%) and $14,725 in FY2022.
- The fiscal Q4 2025 figure is the highest quarterly Change in Accured Expenses in data going back to fiscal Q4 2022.
- Per Business Quant, the preceding three fiscal quarters came in at -$8,881 (Q3 2025), -$15,812 (Q2 2025) and $6,931 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 60.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | -6.96 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 81.49 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 53.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | HNO International | 4.09 Mn | 3.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 14,924.00 |
| Jul 31, 2025 | -8,881.00 |
| Apr 30, 2025 | -15,812.00 |
| Jan 31, 2025 | 6,931.00 |
| Jan 31, 2024 | -14,802.00 |
| Oct 31, 2023 | 6,935.00 |
| Jul 31, 2023 | 7,227.00 |
| Apr 30, 2023 | 6,331.00 |
| Jan 31, 2023 | 6,052.00 |
| Oct 31, 2022 | 5,723.00 |
API Access
HNO International 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=HNOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "HNOI", "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=HNOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();