Network-1 Technologies (NTIP) Return on Capital Employed [ROCE] (2018 - 2026)
Network-1 Technologies' Return on Capital Employed [ROCE] came in at -11.43% for Q2 2026, down 3.42 percentage points from -8.01% a year earlier and down 0.92 percentage points from the prior quarter.
Network-1 Technologies (NTIP) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Network-1 Technologies' Return on Capital Employed [ROCE] was -7.85%, down 0.32 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -3.13 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -7.53% in FY2024 (-3.42 pp), -4.12% in FY2023 (+2.41 pp), -6.53% in FY2022 (-42.87 pp) and 36.34% in FY2021 (+41.06 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2018.
- Year-over-year, Return on Capital Employed [ROCE] has declined for seven consecutive quarters, with an average year-over-year change of -2.18 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2021 (a gain of 36.78 percentage points), and the weakest in Q4 2022 (a drop of 38.73 percentage points).
- Business Quant data shows NTIP's Return on Capital Employed [ROCE] at -10.52% (Q1 2026), -8.28% (Q4 2025) and -8.06% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn | 8.44% |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn | 72.24% |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn | - |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn | -0.05% |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn | 28.98% |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn | 54.76% |
| 10 | Network-1 Technologies | 36.35 Mn | -105.95 Mn | - | -11.43% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.43% |
| Mar 31, 2026 | -10.52% |
| Dec 31, 2025 | -8.28% |
| Sep 30, 2025 | -8.06% |
| Jun 30, 2025 | -8.01% |
| Mar 31, 2025 | -7.66% |
| Dec 31, 2024 | -8.01% |
| Sep 30, 2024 | -5.33% |
| Jun 30, 2024 | -5.06% |
| Mar 31, 2024 | -4.72% |
| Dec 31, 2023 | -4.36% |
| Sep 30, 2023 | -6.70% |
| Jun 30, 2023 | -6.46% |
| Mar 31, 2023 | -6.82% |
| Dec 31, 2022 | -6.87% |
| Sep 30, 2022 | -5.92% |
| Jun 30, 2022 | 11.11% |
| Mar 31, 2022 | 10.83% |
| Dec 31, 2021 | 31.86% |
| Sep 30, 2021 | 30.24% |
Network-1 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=NTIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NTIP", "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=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();