Nexalin Technology (NXL) Return on Capital Employed [ROCE] (2022 - 2026)
Nexalin Technology (NXL) recorded Return on Capital Employed [ROCE] of -489.42% in Q2 2026, down 271.19 percentage points from -218.23% a year earlier and down 236.20 percentage points from the prior quarter.
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Analysis
Nexalin Technology (NXL) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Nexalin Technology reported Return on Capital Employed [ROCE] of -236.92%, down 7.53 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three straight years, with a three-year change of -151.42 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -229.38% in FY2024 (-117.84 pp), -111.54% in FY2023 (-26.05 pp) and -85.50% in FY2022.
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in three of the last eight quarters, with an average year-over-year change of -35.11 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 104.48 percentage points in Q2 2025, against a drop of 271.19 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -253.22% (Q1 2026), -210.12% (Q4 2025) and -161.33% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Nexalin Technology | 4.20 Mn | -7.59 Mn | 8,897.00 | -489.42% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -489.42% |
| Mar 31, 2026 | -253.22% |
| Dec 31, 2025 | -210.12% |
| Sep 30, 2025 | -161.33% |
| Jun 30, 2025 | -218.23% |
| Mar 31, 2025 | -291.03% |
| Dec 31, 2024 | -184.93% |
| Sep 30, 2024 | -209.07% |
| Jun 30, 2024 | -322.71% |
| Mar 31, 2024 | -219.77% |
| Dec 31, 2023 | -157.90% |
| Sep 30, 2023 | -132.81% |
| Jun 30, 2023 | -61.07% |
| Mar 31, 2023 | -40.78% |
| Dec 31, 2022 | -30.84% |
API Access
Nexalin Technology 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=NXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NXL", "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=NXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();