Airwa (YYAI) Change in Accured Expenses (2017 - 2026)
Airwa (YYAI) reported Change in Accured Expenses of $458,569 for fiscal Q4 2026 (quarter ended Apr 30, 2026), up 443.2% from $84,420 a year earlier but down 32.5% from the prior quarter.
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Analysis
Airwa (YYAI) Change in Accured Expenses (2017 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Airwa posted Change in Accured Expenses of $849,714, down 63.2% from FY2025.
- Change in Accured Expenses has a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $2.31 million in FY2025, $114,235 in FY2024, -$598,814 in FY2023 and $6.09 million in FY2022 (+493.5%).
- Five-year quarterly Change in Accured Expenses spans a low of -$1.85 million in fiscal Q3 2023 and a high of $2.95 million in fiscal Q3 2022.
- Year over year, Change in Accured Expenses gained in three of the last six quarters, with growth averaging 161.7%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q1 2026 (growth of 544.6%); the low point was fiscal Q4 2024 (a decline of 85.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $679,000 (Q3 2026), -$610,130 (Q2 2026) and $322,275 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Airwa | 24,028.87 | -159.34 Mn | -1.57 Mn | 458,569.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 458,569.00 |
| Jan 31, 2026 | 679,000.00 |
| Oct 31, 2025 | -610,130.00 |
| Jul 31, 2025 | 322,275.00 |
| Apr 30, 2025 | 84,420.00 |
| Jan 31, 2025 | 1.58 Mn |
| Oct 31, 2024 | 593,234.00 |
| Jul 31, 2024 | 50,000.00 |
| Apr 30, 2024 | 108,148.00 |
| Jan 31, 2024 | 654,209.00 |
| Oct 31, 2023 | -903,321.00 |
| Jul 31, 2023 | 255,199.00 |
| Apr 30, 2023 | 763,138.00 |
| Jan 31, 2023 | -1.85 Mn |
| Oct 31, 2022 | -371,024.00 |
| Jul 31, 2022 | 861,028.00 |
| Apr 30, 2022 | -49,395.00 |
| Jan 31, 2022 | 2.95 Mn |
| Oct 31, 2021 | 780,384.00 |
| Jul 31, 2021 | 2.40 Mn |
API Access
Airwa 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=YYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=YYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();