Airship AI Holdings (AISPW) Operating Expenses (2021 - 2026)
Airship AI Holdings' Operating Expenses was $4.59 million in Q2 2026, up 29.1% from $3.55 million a year earlier but down 3.3% from the prior quarter.
Airship AI Holdings (AISPW) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Airship AI Holdings' Operating Expenses was $16.75 million through Jun 30, 2026, up 19.8% year-over-year; for FY2025, it was $14.91 million, up 6.3% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a four-year compound annual growth rate of 100.6% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $14.03 million in FY2024 (+13.1%), $12.4 million in FY2023 (+10.3%), $11.24 million in FY2022 and $921,347 in FY2021.
- Quarterly Operating Expenses has moved between $196,702 (Q3 2021) and $6.82 million (Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 16.9% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2023 (growth of 687.5%); the worst was Q4 2023 (a decline of 66.1%).
- Per Business Quant data, AISPW's Operating Expenses in the three quarters before Q2 2026 was $4.75 million (Q1 2026), $3.94 million (Q4 2025) and $3.47 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.06 Mn |
| Jun 30, 2026 | 4.59 Mn |
| Mar 31, 2026 | 4.75 Mn |
| Dec 31, 2025 | 3.94 Mn |
| Sep 30, 2025 | 3.47 Mn |
| Jun 30, 2025 | 3.55 Mn |
| Mar 31, 2025 | 3.95 Mn |
| Dec 31, 2024 | 2.73 Mn |
| Sep 30, 2024 | 3.74 Mn |
| Jun 30, 2024 | 3.53 Mn |
| Mar 31, 2024 | 4.03 Mn |
| Dec 31, 2023 | 2.31 Mn |
| Sep 30, 2023 | 2.83 Mn |
| Jun 30, 2023 | 4.76 Mn |
| Mar 31, 2023 | 2.51 Mn |
| Dec 31, 2022 | 6.82 Mn |
| Sep 30, 2022 | 238,259.00 |
| Jun 30, 2022 | 258,432.00 |
| Mar 31, 2022 | 318,284.00 |
| Dec 31, 2021 | 307,496.00 |
Airship AI Holdings Operating 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=operating-expenses&ticker=AISPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AISPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();