XTI Aerospace (XTIA) Return on Sales [ROS] (2013 - 2026)
XTI Aerospace's Return on Sales [ROS] was -27.99% in Q2 2026, up 919.08 percentage points from -947.06% a year earlier.
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Analysis
XTI Aerospace (XTIA) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, XTI Aerospace's Return on Sales [ROS] was -67.16% through Jun 30, 2026, up 879.91 percentage points year-over-year; for FY2025, it came in at -190.40%, up 736.11 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +65.53 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -926.51% in FY2024 (-760.16 pp), -166.35% in FY2023 (+148.66 pp), -315.01% in FY2022 (+139.78 pp) and -454.79% in FY2021 (-198.85 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2023.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last six quarters, with an average year-over-year change of +505.84 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2025 (a gain of 1885.83 percentage points); the worst was Q1 2024 (a drop of 3606.79 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.22 Bn | 67.34 Bn | 2.05 Bn | 28.80% |
| 2 | W.W. Grainger | 63.47 Bn | 61.07 Bn | 1.98 Bn | 16.07% |
| 3 | Fastenal | 59.87 Bn | 58.87 Bn | 1.10 Bn | 21.55% |
| 4 | Ferguson Enterprises | 43.90 Bn | 41.12 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 32.13 Bn | 32.01 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 21.40 Bn | 20.44 Bn | 1.30 Bn | 9.54% |
| 7 | Wesco International | 15.73 Bn | 13.05 Bn | 1.46 Bn | 5.73% |
| 8 | Watsco | 12.30 Bn | 9.99 Bn | 578.93 Mn | 11.32% |
| 9 | Applied Industrial Technologies | 11.77 Bn | 11.64 Bn | 411.22 Mn | 11.78% |
| 10 | XTI Aerospace | 29.04 Mn | -47.12 Mn | 5.64 Mn | -27.99% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.99% |
| Dec 31, 2025 | -34.25% |
| Sep 30, 2025 | -596.18% |
| Jun 30, 2025 | -1,855.00% |
| Mar 31, 2025 | -2,149.17% |
| Dec 31, 2024 | -256.24% |
| Sep 30, 2024 | -459.26% |
| Jun 30, 2024 | -1,350.82% |
| Mar 31, 2024 | -4,035.00% |
| Dec 31, 2023 | 2.48% |
| Jun 30, 2023 | -1,072.85% |
| Mar 31, 2023 | -428.21% |
| Dec 31, 2022 | -372.71% |
| Sep 30, 2022 | -224.35% |
| Jun 30, 2022 | -363.86% |
| Mar 31, 2022 | -348.70% |
| Dec 31, 2021 | -672.91% |
| Sep 30, 2021 | -279.91% |
| Jun 30, 2021 | -384.97% |
| Mar 31, 2021 | -420.45% |
API Access
XTI Aerospace 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=XTIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "XTIA", "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=XTIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();