Airwa (YYAI) Total Non-Current Liabilities (2017 - 2026)
Airwa (YYAI) posted Total Non-Current Liabilities of $20.54 million for fiscal Q4 2026 (quarter ended Apr 30, 2026), up 259.7% from $5.71 million a year earlier and up 77.8% from the prior quarter.
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Analysis
Airwa (YYAI) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
Since fiscal Q4 2017, Airwa has reported Total Non-Current Liabilities for 23 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -3.2% (FY2021 to FY2026).
- In prior fiscal years, Airwa's Total Non-Current Liabilities was $5.71 million in FY2025 (+310.4%), $1.39 million in FY2024 (-28.8%), $1.95 million in FY2023 (-42.0%) and $3.37 million in FY2022 (-86.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Non-Current Liabilities since fiscal Q3 2022.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q4 2025, with growth of 310.4%; the weakest was fiscal Q3 2023, with a decline of 91.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $11.55 million (Q3 2026), $5.96 million (Q2 2026) and $6.28 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Airwa | 22,162.55 | -159.34 Mn | -1.57 Mn | 20.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 20.54 Mn |
| Jan 31, 2026 | 11.55 Mn |
| Oct 31, 2025 | 5.96 Mn |
| Jul 31, 2025 | 6.28 Mn |
| Apr 30, 2025 | 5.71 Mn |
| Apr 30, 2024 | 1.39 Mn |
| Jan 31, 2024 | 1.24 Mn |
| Apr 30, 2023 | 1.95 Mn |
| Jan 31, 2023 | 1.95 Mn |
| Oct 31, 2022 | 3.21 Mn |
| Jul 31, 2022 | 3.32 Mn |
| Apr 30, 2022 | 3.37 Mn |
| Jan 31, 2022 | 23.87 Mn |
| Oct 31, 2021 | 19.86 Mn |
| Jul 31, 2021 | 17.79 Mn |
| Apr 30, 2021 | 24.15 Mn |
| Jan 31, 2021 | 11.19 Mn |
| Oct 31, 2020 | 9.59 Mn |
| Jul 31, 2020 | 8.38 Mn |
| Oct 31, 2018 | 1,114.00 |
API Access
Airwa Total Non-Current 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-non-current-liabilities&ticker=YYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=YYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();