Airship AI Holdings (AISP) Non-Current Assets (2021 - 2026)
Airship AI Holdings' Non-Current Assets was $761,479 in Q2 2026, down 34.7% from $1.17 million a year earlier and down 12.1% from the prior quarter.
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Analysis
Airship AI Holdings (AISP) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Airship AI Holdings came in at $968,443, down 7.6% from FY2024.
- Non-Current Assets has now declined for three consecutive years, with a four-year compound annual growth rate of -76.6% (FY2021 to FY2025).
- In earlier years, Non-Current Assets was $1.05 million in FY2024 (-18.7%), $1.29 million in FY2023 (-99.6%), $328.23 million in FY2022 (+1.4%) and $323.84 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets in data going back to Q1 2021.
- Compared with a year earlier, Non-Current Assets has declined for four straight quarters, with an average decline of 22.7% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2022 (growth of 7.6%); the worst was Q4 2023 (a decline of 99.6%).
- Per Business Quant data, AISP's Non-Current Assets in the three quarters before Q2 2026 was $866,092 (Q1 2026), $968,443 (Q4 2025) and $1.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | Airship AI Holdings | 61.99 Mn | 19.55 Mn | 3.10 Mn | 761,479.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 761,479.00 |
| Mar 31, 2026 | 866,092.00 |
| Dec 31, 2025 | 968,443.00 |
| Sep 30, 2025 | 1.07 Mn |
| Jun 30, 2025 | 1.17 Mn |
| Mar 31, 2025 | 1.27 Mn |
| Dec 31, 2024 | 1.05 Mn |
| Sep 30, 2024 | 1.09 Mn |
| Jun 30, 2024 | 1.13 Mn |
| Mar 31, 2024 | 1.20 Mn |
| Dec 31, 2023 | 1.29 Mn |
| Sep 30, 2023 | 25.25 Mn |
| Jun 30, 2023 | 24.95 Mn |
| Mar 31, 2023 | 25.12 Mn |
| Dec 31, 2022 | 328.23 Mn |
| Sep 30, 2022 | 325.62 Mn |
| Jun 30, 2022 | 324.17 Mn |
| Mar 31, 2022 | 323.75 Mn |
| Dec 31, 2021 | 323.84 Mn |
| Sep 30, 2021 | 323.71 Mn |
API Access
Airship AI Holdings Non-Current Assets 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=non-current-assets&ticker=AISP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();