Nexera Technologies (NEXR) Return on Capital Employed [ROCE] (2024 - 2026)
Nexera Technologies' Return on Capital Employed [ROCE] came in at -11.62% for the quarter ended Jun 30, 2026.
Nexera Technologies (NEXR) Return on Capital Employed [ROCE] (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Nexera Technologies' Return on Capital Employed [ROCE] was -13.94%, down 28.71 percentage points from the prior year.
- Return on Capital Employed [ROCE] carries a three-year change of +48.41 percentage points (years ended Dec 2022 to Dec 2025).
- Going back by year, Return on Capital Employed [ROCE] was 14.77% in the year ended Dec 31, 2024 (+78.70 pp), -63.93% in the year ended Dec 31, 2023 (-1.58 pp) and -62.35% in the year ended Dec 31, 2022.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -58.49% (the quarter ended Sep 30, 2024) to 25.90% (the quarter ended Dec 31, 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 11.49% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 30.02% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 30.97% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 15.67% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 18.45% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 47.86% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 33.85% |
| 10 | Nexera Technologies | 59,557.00 | -14.81 Mn | 820,000.00 | -11.62% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.62% |
| Dec 31, 2025 | -12.50% |
| Sep 30, 2025 | -6.86% |
| Dec 31, 2024 | 25.90% |
| Sep 30, 2024 | -58.49% |
Nexera Technologies 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=NEXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NEXR", "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=NEXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();