Airship AI Holdings (AISP) Total Current Liabilities (2021 - 2026)
Airship AI Holdings' Total Current Liabilities came in at $5.34 million for Q2 2026, down 2.7% from $5.49 million a year earlier and down 25.8% from the prior quarter.
Airship AI Holdings (AISP) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Airship AI Holdings' Total Current Liabilities was $6.28 million, up 11.1% from FY2024.
- Total Current Liabilities carries a four-year compound annual growth rate of 135.4% (FY2021 to FY2025).
- Going back by year, Total Current Liabilities was $5.65 million in FY2024 (-52.4%), $11.87 million in FY2023 (+96.9%), $6.03 million in FY2022 and $204,589 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities since Q3 2023.
- Year-over-year, Total Current Liabilities increased in three of the last eight quarters, with an average decline of 0.4%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2024 (growth of 341.7%), and the weakest in Q1 2025 (a decline of 53.0%).
- Business Quant data shows AISP's Total Current Liabilities at $7.2 million (Q1 2026), $6.28 million (Q4 2025) and $5.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Airship AI Holdings | 61.99 Mn | 19.55 Mn | 3.10 Mn | 5.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.34 Mn |
| Mar 31, 2026 | 7.20 Mn |
| Dec 31, 2025 | 6.28 Mn |
| Sep 30, 2025 | 5.47 Mn |
| Jun 30, 2025 | 5.49 Mn |
| Mar 31, 2025 | 6.30 Mn |
| Dec 31, 2024 | 5.65 Mn |
| Sep 30, 2024 | 7.98 Mn |
| Jun 30, 2024 | 10.88 Mn |
| Mar 31, 2024 | 13.40 Mn |
| Dec 31, 2023 | 11.87 Mn |
| Sep 30, 2023 | 3.07 Mn |
| Jun 30, 2023 | 2.46 Mn |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 6.03 Mn |
| Sep 30, 2022 | 225,958.00 |
| Jun 30, 2022 | 189,616.00 |
| Mar 31, 2022 | 252,196.00 |
| Dec 31, 2021 | 204,589.00 |
| Sep 30, 2021 | 75,385.00 |
Airship AI Holdings Total Current Liabilities 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=total-current-liabilities&ticker=AISP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();