Neighborhood Intelligence (NXH) Depreciation and Depletion (2015 - 2026)
Neighborhood Intelligence (NXH) reported Depreciation and Depletion of $8.12 million for Q2 2026, up 109.1% from $3.88 million a year earlier and up 166.8% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Depreciation and Depletion (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Neighborhood Intelligence's Depreciation and Depletion came in at $18.12 million, down 2.9% year-over-year; for FY2025, it was $15.46 million, down 14.1% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $18.01 million in FY2024 (-4.6%), $18.88 million in FY2023 (+13.3%), $16.66 million in FY2022 (-9.8%) and $18.47 million in FY2021 (-14.8%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q4 2016.
- Year over year, Depreciation and Depletion gained in four of the last eight quarters, with growth averaging 9.7%.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2026 (growth of 109.1%); the low point was Q4 2025 (a decline of 45.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.04 million (Q1 2026), $3.28 million (Q4 2025) and $3.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.87 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 339.00 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 | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | - |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | 8.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.12 Mn |
| Mar 31, 2026 | 3.04 Mn |
| Dec 31, 2025 | 3.28 Mn |
| Sep 30, 2025 | 3.68 Mn |
| Jun 30, 2025 | 3.88 Mn |
| Mar 31, 2025 | 4.63 Mn |
| Dec 31, 2024 | 6.05 Mn |
| Sep 30, 2024 | 4.11 Mn |
| Jun 30, 2024 | 4.13 Mn |
| Mar 31, 2024 | 3.72 Mn |
| Dec 31, 2023 | 4.35 Mn |
| Sep 30, 2023 | 4.04 Mn |
| Jun 30, 2023 | 4.51 Mn |
| Mar 31, 2023 | 5.98 Mn |
| Dec 31, 2022 | 4.22 Mn |
| Sep 30, 2022 | 4.12 Mn |
| Jun 30, 2022 | 4.03 Mn |
| Mar 31, 2022 | 4.29 Mn |
| Dec 31, 2021 | 4.21 Mn |
| Sep 30, 2021 | 4.36 Mn |
API Access
Neighborhood Intelligence Depreciation and Depletion 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=depreciation-and-depletion&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();