HNO International (HNOI) Operating Expenses (2022 - 2026)
HNO International's Operating Expenses came in at $249,730 for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 49.2% from $491,292 a year earlier and down 12.4% from the prior quarter.
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Analysis
HNO International (HNOI) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, HNO International reported Operating Expenses of $917,329, down 88.7% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $6.53 million, up 96.8% from FY2024.
- Operating Expenses has increased in each of the last three fiscal years, with a three-year compound annual growth rate of 82.3% (FY2022 to FY2025).
- Going back by fiscal year, Operating Expenses was $3.32 million in FY2024 (+73.7%), $1.91 million in FY2023 (+77.2%) and $1.08 million in FY2022.
- The five-year range for quarterly Operating Expenses is $187,559 (fiscal Q1 2026) to $5.45 million (fiscal Q1 2025).
- Year-over-year, Operating Expenses has declined for four consecutive quarters, with growth averaging 97.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2025 (growth of 989.9%), and the weakest in fiscal Q1 2026 (a decline of 96.6%).
- Business Quant data shows HNOI's Operating Expenses at $285,223 (Q2 2026), $187,559 (Q1 2026) and $194,817 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | HNO International | 2.05 Mn | 1.74 Mn | - | 249,730.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 249,730.00 |
| Apr 30, 2026 | 285,223.00 |
| Jan 31, 2026 | 187,559.00 |
| Oct 31, 2025 | 194,817.00 |
| Jul 31, 2025 | 491,292.00 |
| Apr 30, 2025 | 386,672.00 |
| Jan 31, 2025 | 5.45 Mn |
| Oct 31, 2024 | 1.76 Mn |
| Jul 31, 2024 | 489,213.00 |
| Apr 30, 2024 | 569,266.00 |
| Jan 31, 2024 | 500,441.00 |
| Oct 31, 2023 | 959,636.00 |
| Jul 31, 2023 | 453,575.00 |
| Apr 30, 2023 | 291,518.00 |
| Jan 31, 2023 | 217,376.00 |
| Oct 31, 2022 | 250,740.00 |
| Jul 31, 2022 | 387,782.00 |
API Access
HNO International Operating 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=operating-expenses&ticker=HNOI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=HNOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();