Airship AI Holdings (AISP) Other Operating Expenses (2021 - 2024)
Airship AI Holdings (AISP) posted Other Operating Expenses of $16,366 for Q3 2024, up 501.2% from $2,722 a year earlier but down 58.3% from the prior quarter.
Airship AI Holdings (AISP) Other Operating Expenses (2021 - 2024) Analysis & Trends
For FY2023, Airship AI Holdings' Other Operating Expenses came in at $86,841, up 9.6% from FY2022.
- In prior years, Airship AI Holdings' Other Operating Expenses was $79,205 in FY2022 (-20.8%) and $100,000 in FY2021.
- Quarterly Other Operating Expenses has run from a low of $238.00 in Q2 2023 to a high of $90,000 in Q4 2021 over five years.
- On a year-over-year basis, Other Operating Expenses increased in two of the last four quarters, with growth averaging 110.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn |
| 10 | Airship AI Holdings | 63.02 Mn | 20.59 Mn | 3.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 16,366.00 |
| Jun 30, 2024 | 39,288.00 |
| Dec 31, 2023 | 79,416.00 |
| Sep 30, 2023 | 2,722.00 |
| Jun 30, 2023 | 238.00 |
| Mar 31, 2023 | 4,941.00 |
| Dec 31, 2022 | 69,205.00 |
| Mar 31, 2022 | 10,000.00 |
| Dec 31, 2021 | 90,000.00 |
| Mar 31, 2021 | 10,000.00 |
Airship AI Holdings Other Operating Expenses 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=other-operating-expenses&ticker=AISP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();