HNO International (HNOI) Non Operating Interest Expenses (2022 - 2024)
HNO International's Non Operating Interest Expenses was $6,932 in fiscal Q1 2024 (quarter ended Jan 31, 2024), up 14.5% from $6,052 a year earlier and unchanged from the prior quarter.
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Analysis
HNO International (HNOI) Non Operating Interest Expenses (2022 - 2024) Analysis & Trends
On a trailing twelve-month basis, HNO International's Non Operating Interest Expenses was $27,145 through Jan 31, 2024; for FY2023 (ended Oct 31, 2023), it came in at $26,545, up 80.3% from FY2022.
- In earlier fiscal years, Non Operating Interest Expenses was $14,725 in FY2022.
- Quarterly Non Operating Interest Expenses has moved between $4,643 (fiscal Q3 2022) and $7,227 (fiscal Q3 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for three straight quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | - |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 9.39 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.27 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 |
|---|---|
| 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 |
API Access
HNO International Non Operating 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=non-operating-interest-expenses&ticker=HNOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=HNOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();