Nixxy (NIXX) Return on Capital Employed [ROCE] (2017 - 2026)
Nixxy (NIXX) recorded Return on Capital Employed [ROCE] of -92.24% in Q1 2026, up 408.04 percentage points from -500.29% a year earlier and up 22.37 percentage points from the prior quarter.
Nixxy (NIXX) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Nixxy reported Return on Capital Employed [ROCE] of -241.70%, up 57.92 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of -40.85 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -299.61% in FY2024 (-18.61 pp), -281.01% in FY2023 (-137.23 pp), -143.78% in FY2022 (+57.07 pp) and -200.85% in FY2021.
- The Q1 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q4 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in five of the last eight quarters, with an average year-over-year change of +141.61 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 473.61 percentage points in Q3 2024, against a drop of 467.98 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -114.61% (Q4 2025), -154.71% (Q3 2025) and -292.69% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 70.57% |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 17.86% |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 29.33% |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 38.06% |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 16.11% |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 115.35% |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 76.09% |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 57.31% |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 5.09% |
| 10 | Nixxy | 5.88 Mn | 5.88 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -92.24% |
| Dec 31, 2025 | -114.61% |
| Sep 30, 2025 | -154.71% |
| Jun 30, 2025 | -292.69% |
| Mar 31, 2025 | -500.29% |
| Dec 31, 2024 | -275.46% |
| Sep 30, 2024 | -150.48% |
| Jun 30, 2024 | -207.30% |
| Mar 31, 2024 | -181.55% |
| Dec 31, 2023 | -532.90% |
| Sep 30, 2023 | -624.08% |
| Jun 30, 2023 | -448.59% |
| Mar 31, 2023 | -340.02% |
| Dec 31, 2022 | -200.59% |
| Sep 30, 2022 | -156.10% |
| Jun 30, 2022 | -138.04% |
| Mar 31, 2022 | -108.47% |
| Dec 31, 2021 | -83.65% |
| Sep 30, 2021 | -86.75% |
| Mar 31, 2020 | -904.83% |
Nixxy 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=NIXX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NIXX", "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=NIXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();