Neighborhood Intelligence (NXH) Gross Margin (2010 - 2026)
Neighborhood Intelligence (NXH) recorded Gross Margin of 26.77% in Q2 2026, up 3.04 percentage points from 23.73% a year earlier and up 2.88 percentage points from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Gross Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Neighborhood Intelligence's Gross Margin came in at 25.30% as of Jun 30, 2026, up 2.20 percentage points year-over-year; for FY2025, it came in at 24.65%, up 3.85 percentage points from FY2024.
- Annual Gross Margin has a five-year change of +1.74 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 20.80% in FY2024 (-2.65 pp), 23.45% in FY2023 (-2.86 pp), 26.31% in FY2022 (+3.68 pp) and 22.63% in FY2021 (-0.28 pp).
- The Q2 2026 figure is the highest quarterly Gross Margin in data going back to Q4 2010.
- On a year-over-year basis, Gross Margin rose in six of the last eight quarters, with an average year-over-year change of +2.45 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 5.63 percentage points in Q1 2025, against a drop of 7.23 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 23.89% (Q1 2026), 24.60% (Q4 2025) and 25.34% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 52.26% |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 33.67% |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 33.41% |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 33.04% |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 33.83% |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 33.67% |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 51.45% |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 18.76% |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 52.15% |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 Mn | 96.68 Mn | 26.77% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.77% |
| Mar 31, 2026 | 23.89% |
| Dec 31, 2025 | 24.60% |
| Sep 30, 2025 | 25.34% |
| Jun 30, 2025 | 23.73% |
| Mar 31, 2025 | 25.08% |
| Dec 31, 2024 | 22.98% |
| Sep 30, 2024 | 21.18% |
| Jun 30, 2024 | 20.14% |
| Mar 31, 2024 | 19.45% |
| Dec 31, 2023 | 19.21% |
| Sep 30, 2023 | 22.21% |
| Jun 30, 2023 | 25.48% |
| Mar 31, 2023 | 26.68% |
| Dec 31, 2022 | 22.12% |
| Sep 30, 2022 | 23.35% |
| Jun 30, 2022 | 22.93% |
| Mar 31, 2022 | 23.36% |
| Dec 31, 2021 | 22.66% |
| Sep 30, 2021 | 22.73% |
API Access
Neighborhood Intelligence Gross 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=gross-margin&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();