Airship AI Holdings (AISP) Cash & Equivalents (2021 - 2026)
Airship AI Holdings (AISP) recorded Cash & Equivalents of $12.37 million in Q2 2026, up 96.1% from $6.31 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Airship AI Holdings (AISP) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Airship AI Holdings reported Cash & Equivalents of $11.75 million, up 2.9% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a four-year compound annual growth rate of 63.0% (FY2021 to FY2025).
- Across earlier years, Cash & Equivalents came in at $11.41 million in FY2024 (+265.3%), $3.12 million in FY2023 (+946.3%), $298,614 in FY2022 (-82.0%) and $1.66 million in FY2021.
- Quarterly Cash & Equivalents has ranged from $18,752 in Q3 2023 to $12.57 million in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 134.3% over the last six quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 946.3% in Q4 2023, against a decline of 98.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.57 million (Q1 2026), $11.75 million (Q4 2025) and $5.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 3.61 Bn |
| 10 | Airship AI Holdings | 64.06 Mn | 21.62 Mn | 3.10 Mn | 12.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.37 Mn |
| Mar 31, 2026 | 12.57 Mn |
| Dec 31, 2025 | 11.75 Mn |
| Sep 30, 2025 | 5.76 Mn |
| Jun 30, 2025 | 6.31 Mn |
| Mar 31, 2025 | 8.81 Mn |
| Dec 31, 2024 | 11.41 Mn |
| Sep 30, 2024 | 6.52 Mn |
| Jun 30, 2024 | 226,750.00 |
| Mar 31, 2024 | 1.73 Mn |
| Dec 31, 2023 | 3.12 Mn |
| Sep 30, 2023 | 18,752.00 |
| Jun 30, 2023 | 213,892.00 |
| Mar 31, 2023 | 568,236.00 |
| Dec 31, 2022 | 298,614.00 |
| Sep 30, 2022 | 1.19 Mn |
| Jun 30, 2022 | 1.26 Mn |
| Mar 31, 2022 | 1.47 Mn |
| Dec 31, 2021 | 1.66 Mn |
| Sep 30, 2021 | 1.73 Mn |
API Access
Airship AI Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=AISP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();