HNO International (HNOI) Interest Expenses (2022 - 2024)
HNO International (HNOI) posted Interest Expenses of $6,932 for fiscal Q1 2024 (quarter ended Jan 31, 2024), up 14.5% from $6,052 a year earlier and unchanged from the prior quarter.
HNO International (HNOI) Interest Expenses (2022 - 2024) Analysis & Trends
For the trailing twelve months through Jan 31, 2024, Interest Expenses at HNO International was $27,145; for FY2023 (ended Oct 31, 2023), it was $26,545, up 80.3% from FY2022.
- In prior fiscal years, HNO International's Interest Expenses was $14,725 in FY2022.
- Quarterly Interest Expenses has run from a low of $4,643 in fiscal Q3 2022 to a high of $7,227 in fiscal Q3 2023 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last three quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | HNO International | 2.05 Mn | 1.74 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2024 | 6,932.00 |
| Oct 31, 2023 | 6,934.00 |
| Jul 31, 2023 | 7,227.00 |
| Jan 31, 2023 | 6,052.00 |
| Oct 31, 2022 | 5,723.00 |
| Jul 31, 2022 | 4,643.00 |
HNO International Interest 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=interest-expenses&ticker=HNOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=HNOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();