Airship AI Holdings (AISP) Return on Sales [ROS] (2023 - 2026)
Airship AI Holdings' Return on Sales [ROS] was -36.15% in Q2 2026, up 58.03 percentage points from -94.18% a year earlier but down 11.25 percentage points from the prior quarter.
Airship AI Holdings (AISP) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Airship AI Holdings' Return on Sales [ROS] was -36.10% through Jun 30, 2026, up 13.56 percentage points year-over-year; for FY2025, it was -47.10%, down 31.89 percentage points from FY2024.
- Return on Sales [ROS] shows a three-year change of -27.69 percentage points (FY2022 to FY2025).
- In earlier years, Return on Sales [ROS] was -15.21% in FY2024 (+38.78 pp), -53.99% in FY2023 (-34.58 pp) and -19.41% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -243.47% (Q3 2025) and 15.25% (Q2 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of -31.19 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2024 (a gain of 126.61 percentage points); the worst was Q3 2025 (a drop of 188.12 percentage points).
- Per Business Quant data, AISP's Return on Sales [ROS] in the three quarters before Q2 2026 was -24.89% (Q1 2026), -9.44% (Q4 2025) and -243.47% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 9.62% |
| 10 | Airship AI Holdings | 64.06 Mn | 21.62 Mn | 3.10 Mn | -36.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.15% |
| Mar 31, 2026 | -24.89% |
| Dec 31, 2025 | -9.44% |
| Sep 30, 2025 | -243.47% |
| Jun 30, 2025 | -94.18% |
| Mar 31, 2025 | -31.15% |
| Dec 31, 2024 | -46.51% |
| Sep 30, 2024 | -55.36% |
| Jun 30, 2024 | 15.25% |
| Mar 31, 2024 | -13.26% |
| Dec 31, 2023 | -14.85% |
| Sep 30, 2023 | -51.55% |
| Jun 30, 2023 | -111.35% |
| Mar 31, 2023 | -57.92% |
Airship AI Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AISP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();