Airwa (YYAI) Operating Expenses (2016 - 2026)
Airwa's Operating Expenses was $4.54 million in fiscal Q4 2026 (quarter ended Apr 30, 2026), up 365.3% from $975,195 a year earlier and up 131.8% from the prior quarter.
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Analysis
Airwa (YYAI) Operating Expenses (2016 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Operating Expenses at Airwa came in at $9.46 million, up 190.1% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 6.7% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $3.26 million in FY2025, $164,376 in FY2024 (-99.3%), $24.74 million in FY2023 (-51.4%) and $50.93 million in FY2022 (+643.5%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses since fiscal Q4 2023.
- Compared with a year earlier, Operating Expenses was higher in three of the last six quarters, with growth averaging 242.7%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2026 (growth of 763.5%); the worst was fiscal Q3 2024 (a decline of 99.9%).
- Per Business Quant data, YYAI's Operating Expenses in the three fiscal quarters before Q4 2026 was $1.96 million (Q3 2026), $2.2 million (Q2 2026) and $764,386 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Airwa | 21,462.68 | -159.34 Mn | -1.57 Mn | 4.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 4.54 Mn |
| Jan 31, 2026 | 1.96 Mn |
| Oct 31, 2025 | 2.20 Mn |
| Jul 31, 2025 | 764,386.00 |
| Apr 30, 2025 | 975,195.00 |
| Jan 31, 2025 | 2.00 Mn |
| Oct 31, 2024 | 199,482.00 |
| Jul 31, 2024 | 88,520.00 |
| Apr 30, 2024 | 158,289.00 |
| Jan 31, 2024 | 1,905.00 |
| Oct 31, 2023 | 1.92 Mn |
| Jul 31, 2023 | 2.75 Mn |
| Apr 30, 2023 | 13.74 Mn |
| Jan 31, 2023 | 2.11 Mn |
| Oct 31, 2022 | 7.23 Mn |
| Jul 31, 2022 | 6.38 Mn |
| Apr 30, 2022 | 7.32 Mn |
| Jan 31, 2022 | 3.72 Mn |
| Oct 31, 2021 | 37.19 Mn |
| Jul 31, 2021 | 3.28 Mn |
API Access
Airwa 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=YYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "YYAI", "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=YYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();