Neighborhood Intelligence (NXH) Return on Sales [ROS] (2010 - 2026)
Neighborhood Intelligence (NXH) posted Return on Sales [ROS] of -11.87% for Q2 2026, down 7.47 percentage points from -4.40% a year earlier and down 4.52 percentage points from the prior quarter.
Neighborhood Intelligence (NXH) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Neighborhood Intelligence was -7.61%, up 3.51 percentage points year-over-year; for FY2025, it was -5.86%, up 7.34 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -9.74 percentage points (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Return on Sales [ROS] was -13.20% in FY2024 (-3.97 pp), -9.22% in FY2023 (-10.62 pp), 1.40% in FY2022 (-2.63 pp) and 4.03% in FY2021 (+0.15 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +4.06 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 9.92 percentage points; the weakest was Q4 2023, with a drop of 22.87 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -7.35% (Q1 2026), -4.80% (Q4 2025) and -4.84% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | -11.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.87% |
| Mar 31, 2026 | -7.35% |
| Dec 31, 2025 | -4.80% |
| Sep 30, 2025 | -4.84% |
| Jun 30, 2025 | -4.40% |
| Mar 31, 2025 | -10.02% |
| Dec 31, 2024 | -14.72% |
| Sep 30, 2024 | -14.51% |
| Jun 30, 2024 | -11.81% |
| Mar 31, 2024 | -15.05% |
| Dec 31, 2023 | -23.52% |
| Sep 30, 2023 | -10.96% |
| Jun 30, 2023 | -1.01% |
| Mar 31, 2023 | -2.19% |
| Dec 31, 2022 | -0.65% |
| Sep 30, 2022 | 1.23% |
| Jun 30, 2022 | 2.19% |
| Mar 31, 2022 | 2.32% |
| Dec 31, 2021 | 3.12% |
| Sep 30, 2021 | 4.18% |
Neighborhood Intelligence 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=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NXH", "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=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();