XTI Aerospace (XTIA) Return on Sales [ROS] (2013 - 2026)
XTI Aerospace's Return on Sales [ROS] was -14.15% in Q3 2026, up 1995.67 percentage points from -2009.82% a year earlier and up 13.84 percentage points from the prior quarter.
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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 -33.45% through Sep 30, 2026, up 1976.38 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 Q3 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2023.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of +712.04 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2025 (a gain of 2340.17 percentage points); the worst was Q1 2024 (a drop of 3606.79 percentage points).
- Per Business Quant data, XTIA's Return on Sales [ROS] in the three quarters before Q3 2026 was -27.99% (Q2 2026), -37.51% (Q1 2026) and -66.60% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 69.71 Bn | 67.47 Bn | 2.01 Bn | 15.98% |
| 2 | United Rentals | 69.67 Bn | 68.79 Bn | 2.05 Bn | 28.80% |
| 3 | Fastenal | 63.32 Bn | 62.32 Bn | 1.10 Bn | 21.55% |
| 4 | Ferguson Enterprises | 49.80 Bn | 47.02 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 33.71 Bn | 33.59 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 21.79 Bn | 20.85 Bn | 1.45 Bn | 10.59% |
| 7 | Wesco International | 15.66 Bn | 12.70 Bn | 1.57 Bn | 6.24% |
| 8 | Qxo | 13.09 Bn | 4.38 Bn | 1.38 Bn | 0.04% |
| 9 | Watsco | 11.10 Bn | 9.17 Bn | 586.29 Mn | 10.14% |
| 10 | XTI Aerospace | 39.63 Mn | 6.02 Mn | 7.68 Mn | -14.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -14.15% |
| Jun 30, 2026 | -27.99% |
| Mar 31, 2026 | -37.51% |
| Dec 31, 2025 | -34.25% |
| Sep 30, 2025 | -596.18% |
| Jun 30, 2025 | -856.76% |
| Mar 31, 2025 | -1,694.83% |
| 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% |
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();