NextPlat (NXPL) Return on Sales [ROS] (2015 - 2026)
NextPlat's Return on Sales [ROS] came in at -1.07% for Q2 2026, up 12.75 percentage points from -13.81% a year earlier and up 10.12 percentage points from the prior quarter.
NextPlat (NXPL) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NextPlat reported Return on Sales [ROS] of -14.32%, up 9.84 percentage points year-over-year; for FY2025, it came in at -16.57%, up 18.28 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +19.18 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -34.84% in FY2024 (+26.68 pp), -61.52% in FY2023 (-0.01 pp), -61.51% in FY2022 (+24.05 pp) and -85.56% in FY2021 (-49.81 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q3 2015.
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +16.62 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2024 (a gain of 77.03 percentage points), and the weakest in Q4 2021 (a drop of 93.46 percentage points).
- Business Quant data shows NXPL's Return on Sales [ROS] at -11.19% (Q1 2026), -28.87% (Q4 2025) and -14.46% (Q3 2025) in the three quarters before Q2 2026.
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 | NextPlat | 23.20 Mn | -27.28 Mn | 4.69 Mn | -1.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.07% |
| Mar 31, 2026 | -11.19% |
| Dec 31, 2025 | -28.87% |
| Sep 30, 2025 | -14.46% |
| Jun 30, 2025 | -13.81% |
| Mar 31, 2025 | -14.96% |
| Dec 31, 2024 | -14.09% |
| Sep 30, 2024 | -52.05% |
| Jun 30, 2024 | -64.14% |
| Mar 31, 2024 | -10.53% |
| Dec 31, 2023 | -91.12% |
| Sep 30, 2023 | -22.74% |
| Jun 30, 2023 | -113.46% |
| Mar 31, 2023 | -43.05% |
| Dec 31, 2022 | -101.53% |
| Sep 30, 2022 | -82.29% |
| Jun 30, 2022 | -53.40% |
| Mar 31, 2022 | -23.33% |
| Dec 31, 2021 | -170.72% |
| Sep 30, 2021 | -99.40% |
NextPlat 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=NXPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NXPL", "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=NXPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();