Airship AI Holdings (AISP) Asset Utilization Ratio (2023 - 2026)
Airship AI Holdings' (AISP) Asset Utilization Ratio came in at 0.98 for Q2 2026, down 17.5% from 1.19 a year earlier but up 17.5% from the prior quarter.
Airship AI Holdings (AISP) Asset Utilization Ratio (2023 - 2026) Analysis & Trends
For FY2025, Airship AI Holdings' Asset Utilization Ratio stood at 0.92, down 60.3% from FY2024.
- In prior years, Airship AI Holdings' Asset Utilization Ratio was 2.33 in FY2024 (-5.4%), 2.46 in FY2023 and 0.09 in FY2022.
- Quarterly Asset Utilization Ratio has run from a low of 0.78 in Q4 2023 to a high of 4.73 in Q2 2024 over five years.
- On a year-over-year basis, Asset Utilization Ratio has declined in each of the last six quarters, with an average decline of 20.2% over the last seven quarters.
- According to Business Quant data, Asset Utilization Ratio for the three prior quarters was 0.84 (Q1 2026), 1.11 (Q4 2025) and 1.32 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 0.24 |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 0.46 |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 0.73 |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 0.63 |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.55 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 0.44 |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 0.33 |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 0.27 |
| 10 | Airship AI Holdings | 61.99 Mn | 19.55 Mn | 3.10 Mn | 0.98 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.98 |
| Mar 31, 2026 | 0.84 |
| Dec 31, 2025 | 1.11 |
| Sep 30, 2025 | 1.32 |
| Jun 30, 2025 | 1.19 |
| Mar 31, 2025 | 1.35 |
| Dec 31, 2024 | 2.02 |
| Sep 30, 2024 | 3.34 |
| Jun 30, 2024 | 4.73 |
| Mar 31, 2024 | 3.71 |
| Dec 31, 2023 | 0.78 |
Airship AI Holdings Asset Utilization Ratio 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=asset-utilization-ratio&ticker=AISP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();