Xiao-I (AIXI) Other Accumulated Expenses (2021 - 2026)
Xiao-I's Other Accumulated Expenses was $138.27 million in Q2 2026, down 99.8% from $68.34 billion a year earlier.
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Analysis
Xiao-I (AIXI) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Xiao-I came in at $130.76 million, down 99.9% from FY2024.
- Other Accumulated Expenses shows a four-year compound annual growth rate of 202.6% (FY2021 to FY2025).
- In earlier years, Other Accumulated Expenses was $217.07 billion in FY2024, $704,947 in FY2023 (-21.4%), $896,431 in FY2022 (-42.5%) and $1.56 million in FY2021.
- Quarterly Other Accumulated Expenses has moved between $206,716 (Q2 2024) and $217.07 billion (Q4 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Xiao-I | 111,014.54 | -15.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.27 Mn |
| Dec 31, 2025 | 70.00 Bn |
| Jun 30, 2025 | 68.34 Bn |
| Dec 31, 2024 | 217.07 Bn |
| Jun 30, 2024 | 206,716.00 |
| Dec 31, 2023 | 704,947.00 |
| Jun 30, 2023 | 742,714.00 |
| Dec 31, 2022 | 896,431.00 |
| Dec 31, 2021 | 1.56 Mn |
API Access
Xiao-I Other Accumulated 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=other-accumulated-expenses&ticker=AIXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=AIXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();