Network-1 Technologies (NTIP) Return on Sales [ROS] (2010 - 2026)
Network-1 Technologies' Return on Sales [ROS] was -2204.00% in Q4 2025, down 2011.50 percentage points from -192.50% a year earlier but up 28.00 percentage points from the prior quarter.
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Analysis
Network-1 Technologies (NTIP) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
From Q3 2017 onward, Network-1 Technologies has reported Return on Sales [ROS] for 30 quarters.
- Return on Sales [ROS] shows a five-year change of -2149.20 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -3621.00% in FY2024 (-3535.07 pp), -85.93% in FY2023 and 54.36% in FY2021 (+109.17 pp).
- Quarterly Return on Sales [ROS] has moved between -2296.00% (Q2 2025) and 65.65% (Q1 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -1017.69 percentage points over the last six quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 6426.65 percentage points); the worst was Q3 2025 (a drop of 2099.68 percentage points).
- Per Business Quant data, NTIP's Return on Sales [ROS] in the three quarters before Q4 2025 was -2232.00% (Q3 2025), -2296.00% (Q2 2025) and -430.00% (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 80.68% |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | - |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | 11.14% |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 33.74% |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 39.95% |
| 10 | Network-1 Technologies | 35.44 Mn | -106.87 Mn | - | -289.43% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -289.43% |
| Mar 31, 2026 | -368.49% |
| Dec 31, 2025 | -2,204.00% |
| Sep 30, 2025 | -2,232.00% |
| Jun 30, 2025 | -2,296.00% |
| Mar 31, 2025 | -430.00% |
| Jun 30, 2024 | -624.00% |
| Dec 31, 2023 | -2.86% |
| Jun 30, 2023 | -193.99% |
| Mar 31, 2023 | -144.51% |
| Jun 30, 2022 | 38.39% |
| Mar 31, 2022 | 37.02% |
| Dec 31, 2021 | -243.62% |
| Sep 30, 2021 | 53.16% |
| Jun 30, 2021 | 46.16% |
| Mar 31, 2021 | 65.65% |
| Dec 31, 2020 | -6,670.27% |
| Sep 30, 2020 | 40.00% |
| Jun 30, 2020 | -1,281.82% |
| Mar 31, 2020 | -559.01% |
API Access
Network-1 Technologies Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=NTIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=NTIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();