Airwa (YYAI) Total Liabilities (2017 - 2026)
Airwa (YYAI) posted Total Liabilities of $39.79 million for fiscal Q4 2026 (quarter ended Apr 30, 2026), up 513.4% from $6.49 million a year earlier and up 222.6% from the prior quarter.
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Analysis
Airwa (YYAI) Total Liabilities (2017 - 2026) Analysis & Trends
Since fiscal Q4 2017, Airwa has reported Total Liabilities for 35 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- In prior fiscal years, Airwa's Total Liabilities was $6.49 million in FY2025 (+349.9%), $1.44 million in FY2024 (-65.8%), $4.22 million in FY2023 (-90.0%) and $42.35 million in FY2022 (+75.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities since fiscal Q4 2022.
- On a year-over-year basis, Total Liabilities increased in three of the last five quarters, with growth averaging 188.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2026, with growth of 513.4%; the weakest was fiscal Q4 2023, with a decline of 90.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $12.34 million (Q3 2026), $6.75 million (Q2 2026) and $7.06 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Airwa | 20,062.94 | -159.34 Mn | -1.57 Mn | 39.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 39.79 Mn |
| Jan 31, 2026 | 12.34 Mn |
| Oct 31, 2025 | 6.75 Mn |
| Jul 31, 2025 | 7.06 Mn |
| Apr 30, 2025 | 6.49 Mn |
| Jan 31, 2025 | 4.07 Mn |
| Oct 31, 2024 | -4.84 Mn |
| Jul 31, 2024 | 13.75 Mn |
| Apr 30, 2024 | 1.44 Mn |
| Jan 31, 2024 | 17.60 Mn |
| Apr 30, 2023 | 4.22 Mn |
| Jan 31, 2023 | 7.81 Mn |
| Oct 31, 2022 | 31.90 Mn |
| Jul 31, 2022 | 26.36 Mn |
| Apr 30, 2022 | 42.35 Mn |
| Jan 31, 2022 | 28.93 Mn |
| Oct 31, 2021 | 24.91 Mn |
| Jul 31, 2021 | 22.84 Mn |
| Apr 30, 2021 | 24.15 Mn |
| Jan 31, 2021 | 11.19 Mn |
API Access
Airwa Total Liabilities 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=total-liabilities&ticker=YYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=YYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();