Airship AI Holdings (AISP) Return on Capital Employed [ROCE] (2021 - 2026)
Airship AI Holdings' Return on Capital Employed [ROCE] was -50.04% in Q2 2026, up 63.20 percentage points from -113.24% a year earlier and up 8.50 percentage points from the prior quarter.
Airship AI Holdings (AISP) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Airship AI Holdings came in at -70.01%, up 12.60 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a three-year change of -68.23 percentage points (FY2022 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -82.61% in FY2024 and -1.78% in FY2022.
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last four quarters, with an average year-over-year change of +34.14 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2024 (a gain of 112.71 percentage points); the worst was Q4 2023 (a drop of 171.93 percentage points).
- Per Business Quant data, AISP's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -58.55% (Q1 2026), -96.15% (Q4 2025) and -223.20% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.83% |
| 10 | Airship AI Holdings | 64.06 Mn | 21.62 Mn | 3.10 Mn | -50.04% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -50.04% |
| Mar 31, 2026 | -58.55% |
| Dec 31, 2025 | -96.15% |
| Sep 30, 2025 | -223.20% |
| Jun 30, 2025 | -113.24% |
| Mar 31, 2025 | -54.34% |
| Dec 31, 2024 | -60.99% |
| Dec 31, 2023 | -173.70% |
| Sep 30, 2023 | -35.77% |
| Jun 30, 2023 | -30.23% |
| Mar 31, 2023 | -30.21% |
| Dec 31, 2022 | -1.77% |
| Sep 30, 2022 | -0.38% |
| Jun 30, 2022 | -0.37% |
| Mar 31, 2022 | -0.37% |
| Dec 31, 2021 | -0.31% |
Airship AI Holdings Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AISP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AISP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();