XTI Aerospace (XTIA) Return on Capital Employed [ROCE] (2014 - 2025)
XTI Aerospace (XTIA) posted Return on Capital Employed [ROCE] of -252.10% for Q4 2025, up 64.65 percentage points from -316.75% a year earlier and up 385.84 percentage points from the prior quarter.
XTI Aerospace (XTIA) Return on Capital Employed [ROCE] (2014 - 2025) Analysis & Trends
For FY2025, XTI Aerospace's Return on Capital Employed [ROCE] came in at -828.98%.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -744.00 percentage points (FY2020 to FY2025).
- In prior years, XTI Aerospace's Return on Capital Employed [ROCE] was -47.99% in FY2023 (-24.65 pp), -23.34% in FY2022 (+66.78 pp) and -90.13% in FY2021 (-5.14 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -926.74% in Q4 2023 to a high of -27.70% in Q3 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in two of the last six quarters, with an average year-over-year change of -8.43 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2024, with a gain of 609.99 percentage points; the weakest was Q4 2023, with a drop of 887.75 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -637.94% (Q3 2025), -300.46% (Q2 2025) and -236.41% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 37.06% |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 40.62% |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 23.37% |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 12.18% |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 12.56% |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 10.99% |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 23.02% |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 18.08% |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | -2.94% |
| 10 | XTI Aerospace | 13.40 Mn | -53.55 Mn | 3.03 Mn | -252.10% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -252.10% |
| Sep 30, 2025 | -637.94% |
| Jun 30, 2025 | -300.46% |
| Mar 31, 2025 | -236.41% |
| Dec 31, 2024 | -316.75% |
| Sep 30, 2024 | -279.55% |
| Jun 30, 2024 | -267.56% |
| Dec 31, 2023 | -926.74% |
| Sep 30, 2023 | -67.58% |
| Jun 30, 2023 | -145.62% |
| Mar 31, 2023 | -72.84% |
| Dec 31, 2022 | -38.99% |
| Sep 30, 2022 | -63.41% |
| Jun 30, 2022 | -58.15% |
| Mar 31, 2022 | -52.93% |
| Dec 31, 2021 | -49.58% |
| Sep 30, 2021 | -27.70% |
| Jun 30, 2021 | -30.01% |
| Mar 31, 2021 | -37.22% |
| Dec 31, 2020 | -54.47% |
XTI Aerospace 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=XTIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=XTIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();