Nexentis Technologies (NXTS) Return on Sales [ROS] (2019 - 2025)
Nexentis Technologies (NXTS) reported Return on Sales [ROS] of -66300.00% for Q3 2025, down 50344.44 percentage points from -15955.56% a year earlier and down 64031.02 percentage points from the prior quarter.
Nexentis Technologies (NXTS) Return on Sales [ROS] (2019 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Nexentis Technologies' Return on Sales [ROS] came in at -2292.34%, up 740.52 percentage points year-over-year; for FY2024, it was -1563.33%, up 1318.04 percentage points from FY2023.
- Return on Sales [ROS] has a five-year change of -464.90 percentage points (FY2019 to FY2024).
- By year, Return on Sales [ROS] came in at -2881.37% in FY2023 (-1404.32 pp), -1477.05% in FY2022 (-403.51 pp), -1073.54% in FY2021 (-492.62 pp) and -580.93% in FY2020 (+517.51 pp).
- The Q3 2025 figure ranks as the lowest quarterly Return on Sales [ROS] in data going back to Q1 2019.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -7936.00 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2025 (a gain of 2713.37 percentage points); the low point was Q3 2025 (a drop of 50344.44 percentage points).
- Per Business Quant data, the three quarters before Q3 2025 came in at -2268.98% (Q2 2025), -937.88% (Q1 2025) and -155.32% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Nexentis Technologies | 1.18 Mn | -21.59 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -66,300.00% |
| Jun 30, 2025 | -2,268.98% |
| Mar 31, 2025 | -937.88% |
| Dec 31, 2024 | -155.32% |
| Sep 30, 2024 | -15,955.56% |
| Jun 30, 2024 | -4,982.35% |
| Mar 31, 2024 | -2,043.18% |
| Dec 31, 2023 | -2,027.96% |
| Sep 30, 2023 | -1,799.97% |
| Jun 30, 2023 | -2,295.45% |
| Mar 31, 2023 | -1,440.92% |
| Dec 31, 2022 | -637.86% |
| Sep 30, 2022 | -3,450.59% |
| Jun 30, 2022 | -4,108.53% |
| Mar 31, 2022 | -1,535.63% |
| Dec 31, 2021 | -830.25% |
| Sep 30, 2021 | -1,811.17% |
| Jun 30, 2021 | -2,981.71% |
| Mar 31, 2021 | -200.59% |
| Dec 31, 2020 | -89.90% |
Nexentis 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=NXTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NXTS", "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=NXTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();