Airship AI Holdings (AISPW) Accumulated Expenses (2021 - 2026)
Airship AI Holdings' Accumulated Expenses was $53,215 in Q2 2026, up 9.2% from $48,731 a year earlier but down 1.2% from the prior quarter.
Airship AI Holdings (AISPW) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Airship AI Holdings came in at $27,966, down 45.9% from FY2024.
- Accumulated Expenses shows a four-year compound annual growth rate of -37.3% (FY2021 to FY2025).
- In earlier years, 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 moved between $27,966 (Q4 2025) and $2.45 million (Q3 2023) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last eight quarters, with an average decline of 51.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2023 (growth of 997.9%); the worst was Q3 2024 (a decline of 95.0%).
- Per Business Quant data, AISPW's Accumulated Expenses in the three quarters before Q2 2026 was $53,835 (Q1 2026), $27,966 (Q4 2025) and $45,819 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 158,146.00 |
| 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 |
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=AISPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AISPW", "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=AISPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();