Neighborhood Intelligence (NXH) Change in Accured Expenses (2011 - 2026)
Neighborhood Intelligence (NXH) reported Change in Accured Expenses of $4.52 million for Q2 2026, compared with -$14.18 million a year earlier.
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Analysis
Neighborhood Intelligence (NXH) Change in Accured Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Neighborhood Intelligence's Change in Accured Expenses came in at $4.86 million; for FY2025, it was -$24.33 million.
- By year, Change in Accured Expenses came in at -$31,000 in FY2024, $10.44 million in FY2023, -$36.63 million in FY2022 and -$21.6 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses since Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$3.81 million (Q1 2026), $2.67 million (Q4 2025) and $1.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | 4.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.52 Mn |
| Mar 31, 2026 | -3.81 Mn |
| Dec 31, 2025 | 2.67 Mn |
| Sep 30, 2025 | 1.49 Mn |
| Jun 30, 2025 | -14.18 Mn |
| Mar 31, 2025 | -14.30 Mn |
| Dec 31, 2024 | 19.34 Mn |
| Sep 30, 2024 | -6.84 Mn |
| Jun 30, 2024 | -11.13 Mn |
| Mar 31, 2024 | -1.41 Mn |
| Dec 31, 2023 | 1.27 Mn |
| Sep 30, 2023 | 12.54 Mn |
| Jun 30, 2023 | -8.75 Mn |
| Mar 31, 2023 | 5.38 Mn |
| Dec 31, 2022 | -24.99 Mn |
| Sep 30, 2022 | -3.29 Mn |
| Jun 30, 2022 | -16.23 Mn |
| Mar 31, 2022 | 7.89 Mn |
| Dec 31, 2021 | -1.65 Mn |
| Sep 30, 2021 | -9.29 Mn |
API Access
Neighborhood Intelligence Change in Accured Expenses 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=change-in-accured-expenses&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();