Neighborhood Intelligence (NXH) EBIT Margin (2010 - 2026)
Neighborhood Intelligence (NXH) posted EBIT Margin 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) EBIT Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT Margin 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 EBIT Margin shows a five-year change of -9.74 percentage points (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's EBIT Margin 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 EBIT Margin since Q4 2024.
- On a year-over-year basis, EBIT Margin 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 EBIT Margin 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, EBIT Margin 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) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 19.08% |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 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 EBIT Margin 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=ebit-margin&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-margin", "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=ebit-margin&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();