Xiao-I (AIXI) Total Non-Current Liabilities (2021 - 2026)
Xiao-I's Total Non-Current Liabilities came in at $152.56 million for Q2 2026, down 100.0% from $14.93 trillion a year earlier.
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Analysis
Xiao-I (AIXI) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Xiao-I's Total Non-Current Liabilities was $144.47 million, down 100.0% from FY2024.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of 77.6% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $14.68 trillion in FY2024, $17.14 million in FY2023 (+1.1%), $16.96 million in FY2022 (+16.9%) and $14.51 million in FY2021.
- The five-year range for quarterly Total Non-Current Liabilities is $13.16 million (Q2 2023) to $14.93 trillion (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | 5.20 Bn |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Xiao-I | 191,667.71 | -11.44 Mn | - | 18.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.23 Mn |
| Dec 31, 2025 | 17.48 Mn |
| Jun 30, 2025 | 14.93 Mn |
| Dec 31, 2024 | 14.68 Mn |
| Jun 30, 2024 | 14.98 Mn |
| Dec 31, 2023 | 17.14 Mn |
| Jun 30, 2023 | 13.16 Mn |
| Dec 31, 2022 | 16.96 Mn |
| Dec 31, 2021 | 14.51 Mn |
API Access
Xiao-I 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=AIXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AIXI", "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=AIXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();