Airship AI Holdings (AISP) Shares Outstanding (Diluted) (2021 - 2026)
Airship AI Holdings (AISP) reported Shares Outstanding (Diluted) of 34.44 million for Q2 2026, up 8.0% from 31.87 million a year earlier and up 0.2% from the prior quarter.
Airship AI Holdings (AISP) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Airship AI Holdings posted Shares Outstanding (Diluted) of 38.68 million, up 57.3% from FY2024.
- Shares Outstanding (Diluted) has a four-year compound annual growth rate of 4.6% (FY2021 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 24.59 million in FY2024 (+20.6%), 20.39 million in FY2023 (-59.7%), 50.61 million in FY2022 (+56.4%) and 32.37 million in FY2021.
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 9.12 million in Q3 2021 and a high of 50.61 million in Q4 2022.
- Year over year, Shares Outstanding (Diluted) gained in seven of the last eight quarters, with growth averaging 27.9%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2022 (growth of 895.1%); the low point was Q4 2023 (a decline of 59.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 34.38 million (Q1 2026), 38.68 million (Q4 2025) and 41.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 42.88 Mn |
| 10 | Airship AI Holdings | 64.06 Mn | 21.62 Mn | 3.10 Mn | 34.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.44 Mn |
| Mar 31, 2026 | 34.38 Mn |
| Dec 31, 2025 | 38.68 Mn |
| Sep 30, 2025 | 41.97 Mn |
| Jun 30, 2025 | 31.87 Mn |
| Mar 31, 2025 | 38.82 Mn |
| Dec 31, 2024 | 24.59 Mn |
| Sep 30, 2024 | 35.45 Mn |
| Jun 30, 2024 | 30.27 Mn |
| Mar 31, 2024 | 22.90 Mn |
| Dec 31, 2023 | 20.39 Mn |
| Sep 30, 2023 | 22.81 Mn |
| Jun 30, 2023 | 22.81 Mn |
| Mar 31, 2023 | 36.49 Mn |
| Dec 31, 2022 | 50.61 Mn |
| Sep 30, 2022 | 41.49 Mn |
| Jun 30, 2022 | 41.49 Mn |
| Mar 31, 2022 | 32.37 Mn |
| Dec 31, 2021 | 32.37 Mn |
| Sep 30, 2021 | 9.12 Mn |
Airship AI Holdings Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=AISP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();