Airship AI Holdings (AISP) Accumulated Expenses (2021 - 2026)
Airship AI Holdings (AISP) posted Accumulated Expenses of $53,215 for Q2 2026, up 9.2% from $48,731 a year earlier but down 1.2% from the prior quarter.
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Analysis
Airship AI Holdings (AISP) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Airship AI Holdings' Accumulated Expenses came in at $27,966, down 45.9% from FY2024.
- Annual Accumulated Expenses shows a four-year compound annual growth rate of -37.3% (FY2021 to FY2025).
- In prior years, Airship AI Holdings' Accumulated Expenses was $51,649 in FY2024 (-74.2%), $200,531 in FY2023 (+66.2%), $120,662 in FY2022 (-33.4%) and $181,202 in FY2021.
- Quarterly Accumulated Expenses has run from a low of $27,966 in Q4 2025 to a high of $2.45 million in Q3 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 51.7%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2023, with growth of 997.9%; the weakest was Q3 2024, with a decline of 95.0%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $53,835 (Q1 2026), $27,966 (Q4 2025) and $45,819 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Airship AI Holdings | 64.06 Mn | 21.62 Mn | 3.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53,215.00 |
| Mar 31, 2026 | 53,835.00 |
| Dec 31, 2025 | 27,966.00 |
| Sep 30, 2025 | 45,819.00 |
| Jun 30, 2025 | 48,731.00 |
| Mar 31, 2025 | 60,551.00 |
| Dec 31, 2024 | 51,649.00 |
| Sep 30, 2024 | 121,978.00 |
| Jun 30, 2024 | 161,406.00 |
| Mar 31, 2024 | 168,902.00 |
| Dec 31, 2023 | 200,531.00 |
| Sep 30, 2023 | 2.45 Mn |
| Jun 30, 2023 | 2.18 Mn |
| Mar 31, 2023 | 628,860.00 |
| Dec 31, 2022 | 120,662.00 |
| Sep 30, 2022 | 223,545.00 |
| Jun 30, 2022 | 180,962.00 |
| Mar 31, 2022 | 248,403.00 |
| Dec 31, 2021 | 181,202.00 |
| Sep 30, 2021 | 75,385.00 |
API Access
Airship AI Holdings 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=accumulated-expenses&ticker=AISP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AISP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();