Neighborhood Intelligence (NXH) Cost of Revenue (2010 - 2026)
Neighborhood Intelligence (NXH) reported Cost of Revenue of $264.48 million for Q2 2026, up 22.9% from $215.28 million a year earlier and up 40.3% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Neighborhood Intelligence's Cost of Revenue came in at $851.23 million, down 1.9% year-over-year; for FY2025, it came in at $787.09 million, down 28.8% from FY2024.
- Cost of Revenue has declined for four consecutive years, with a five-year compound annual growth rate of -16.4% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $1.1 billion in FY2024 (-7.6%), $1.2 billion in FY2023 (-15.9%), $1.42 billion in FY2022 (-33.3%) and $2.13 billion in FY2021 (+10.9%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue since Q2 2024.
- Year over year, Cost of Revenue gained in two of the last eight quarters, with an average decline of 14.8%.
- The high point for year-over-year Cost of Revenue in five years was Q2 2026 (growth of 22.9%); the low point was Q1 2025 (a decline of 43.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $188.56 million (Q1 2026), $206.17 million (Q4 2025) and $192.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | 264.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 264.48 Mn |
| Mar 31, 2026 | 188.56 Mn |
| Dec 31, 2025 | 206.17 Mn |
| Sep 30, 2025 | 192.02 Mn |
| Jun 30, 2025 | 215.28 Mn |
| Mar 31, 2025 | 173.62 Mn |
| Dec 31, 2024 | 233.49 Mn |
| Sep 30, 2024 | 245.45 Mn |
| Jun 30, 2024 | 317.94 Mn |
| Mar 31, 2024 | 307.92 Mn |
| Dec 31, 2023 | 310.59 Mn |
| Sep 30, 2023 | 290.41 Mn |
| Jun 30, 2023 | 314.64 Mn |
| Mar 31, 2023 | 279.46 Mn |
| Dec 31, 2022 | 315.34 Mn |
| Sep 30, 2022 | 352.81 Mn |
| Jun 30, 2022 | 407.02 Mn |
| Mar 31, 2022 | 410.83 Mn |
| Dec 31, 2021 | 473.82 Mn |
| Sep 30, 2021 | 532.68 Mn |
API Access
Neighborhood Intelligence Cost of Revenue 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=cost-of-revenue&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();