Neighborhood Intelligence (NXH) Depreciation & Amortization (CF) (2011 - 2026)
Neighborhood Intelligence (NXH) posted Depreciation & Amortization (CF) of $7.96 million for Q2 2026, up 95.0% from $4.08 million a year earlier and up 148.3% from the prior quarter.
Neighborhood Intelligence (NXH) Depreciation & Amortization (CF) (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at Neighborhood Intelligence was $18.51 million, down 5.7% year-over-year; for FY2025, it was $16.28 million, down 14.6% from FY2024.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- In prior years, Neighborhood Intelligence's Depreciation & Amortization (CF) was $19.06 million in FY2024 (-2.0%), $19.45 million in FY2023 (+16.4%), $16.71 million in FY2022 (-10.0%) and $18.56 million in FY2021 (-14.8%).
- The Q2 2026 figure stands as the highest quarterly Depreciation & Amortization (CF) in data going back to Q4 2011.
- On a year-over-year basis, Depreciation & Amortization (CF) increased in four of the last eight quarters, with growth averaging 7.2%.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q2 2026, with growth of 95.0%; the weakest was Q4 2025, with a decline of 45.0%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $3.2 million (Q1 2026), $3.48 million (Q4 2025) and $3.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 19.99 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 140.19 Mn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 784.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 69.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 138.28 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 160.29 Mn |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | 7.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.96 Mn |
| Mar 31, 2026 | 3.20 Mn |
| Dec 31, 2025 | 3.48 Mn |
| Sep 30, 2025 | 3.88 Mn |
| Jun 30, 2025 | 4.08 Mn |
| Mar 31, 2025 | 4.84 Mn |
| Dec 31, 2024 | 6.32 Mn |
| Sep 30, 2024 | 4.38 Mn |
| Jun 30, 2024 | 4.40 Mn |
| Mar 31, 2024 | 3.96 Mn |
| Dec 31, 2023 | 4.63 Mn |
| Sep 30, 2023 | 4.32 Mn |
| Jun 30, 2023 | 4.52 Mn |
| Mar 31, 2023 | 5.99 Mn |
| Dec 31, 2022 | 4.23 Mn |
| Sep 30, 2022 | 4.13 Mn |
| Jun 30, 2022 | 4.04 Mn |
| Mar 31, 2022 | 4.31 Mn |
| Dec 31, 2021 | 4.23 Mn |
| Sep 30, 2021 | 4.38 Mn |
Neighborhood Intelligence Depreciation & Amortization (CF) 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-amortization-cf&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();