Airship AI Holdings (AISP) Non-Current Deffered Revenue (2021 - 2026)
Airship AI Holdings (AISP) recorded Non-Current Deffered Revenue of $4.63 million in Q2 2026, up 113.8% from $2.17 million a year earlier and up 27.4% from the prior quarter.
Airship AI Holdings (AISP) Non-Current Deffered Revenue (2021 - 2026) Analysis & Trends
At the end of FY2025, Airship AI Holdings reported Non-Current Deffered Revenue of $3.97 million, up 34.4% from FY2024.
- Annual Non-Current Deffered Revenue has a four-year compound annual growth rate of -23.1% (FY2021 to FY2025).
- Across earlier years, Non-Current Deffered Revenue came in at $2.95 million in FY2024 (-40.5%), $4.96 million in FY2023 (+3.3%), $4.81 million in FY2022 (-57.6%) and $11.33 million in FY2021.
- The Q2 2026 figure is the highest quarterly Non-Current Deffered Revenue since Q4 2023.
- On a year-over-year basis, Non-Current Deffered Revenue has increased for three consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- Peak year-over-year performance for Non-Current Deffered Revenue in the last five years was growth of 113.8% in Q2 2026, against a decline of 68.4% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.64 million (Q1 2026), $3.97 million (Q4 2025) and $2.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 7.01 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.35 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.83 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 27.76 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 50.86 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 30.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 385.66 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 445.27 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Airship AI Holdings | 64.06 Mn | 21.62 Mn | 3.10 Mn | 4.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.63 Mn |
| Mar 31, 2026 | 3.64 Mn |
| Dec 31, 2025 | 3.97 Mn |
| Sep 30, 2025 | 2.75 Mn |
| Jun 30, 2025 | 2.17 Mn |
| Mar 31, 2025 | 2.53 Mn |
| Dec 31, 2024 | 2.95 Mn |
| Sep 30, 2024 | 3.59 Mn |
| Jun 30, 2024 | 3.88 Mn |
| Mar 31, 2024 | 4.30 Mn |
| Dec 31, 2023 | 4.96 Mn |
| Sep 30, 2023 | 11.33 Mn |
| Jun 30, 2023 | 11.33 Mn |
| Mar 31, 2023 | 11.33 Mn |
| Dec 31, 2022 | 4.81 Mn |
| Sep 30, 2022 | 11.33 Mn |
| Jun 30, 2022 | 11.33 Mn |
| Mar 31, 2022 | 11.33 Mn |
| Dec 31, 2021 | 11.33 Mn |
| Sep 30, 2021 | 11.33 Mn |
Airship AI Holdings Non-Current Deffered Revenue 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-deffered-revenue&ticker=AISP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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-deffered-revenue&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();