Neighborhood Intelligence (NXH) Selling, General & Administrative (2010 - 2026)
Neighborhood Intelligence's Selling, General & Administrative was $57.53 million in Q2 2026, up 308.3% from $14.09 million a year earlier and up 287.0% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Neighborhood Intelligence's Selling, General & Administrative was $97.56 million through Jun 30, 2026, up 52.9% year-over-year; for FY2025, it came in at $53.57 million, down 28.0% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of -11.3% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $74.4 million in FY2024 (-17.7%), $90.41 million in FY2023 (+13.4%), $79.7 million in FY2022 (-8.8%) and $87.4 million in FY2021 (-10.5%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q4 2010.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last eight quarters, with growth averaging 18.4%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2026 (growth of 308.3%); the worst was Q3 2025 (a decline of 31.9%).
- Per Business Quant data, NXH's Selling, General & Administrative in the three quarters before Q2 2026 was $14.86 million (Q1 2026), $13.2 million (Q4 2025) and $11.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 5.73 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 704.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 1.53 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | 57.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.53 Mn |
| Mar 31, 2026 | 14.86 Mn |
| Dec 31, 2025 | 13.20 Mn |
| Sep 30, 2025 | 11.97 Mn |
| Jun 30, 2025 | 14.09 Mn |
| Mar 31, 2025 | 14.31 Mn |
| Dec 31, 2024 | 17.84 Mn |
| Sep 30, 2024 | 17.57 Mn |
| Jun 30, 2024 | 18.53 Mn |
| Mar 31, 2024 | 20.45 Mn |
| Dec 31, 2023 | 24.15 Mn |
| Sep 30, 2023 | 24.11 Mn |
| Jun 30, 2023 | 21.67 Mn |
| Mar 31, 2023 | 20.48 Mn |
| Dec 31, 2022 | 18.70 Mn |
| Sep 30, 2022 | 18.67 Mn |
| Jun 30, 2022 | 21.08 Mn |
| Mar 31, 2022 | 21.26 Mn |
| Dec 31, 2021 | 20.84 Mn |
| Sep 30, 2021 | 21.03 Mn |
API Access
Neighborhood Intelligence Selling, General & Administrative 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=selling-general-and-administrative&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();