Neighborhood Intelligence (NXH) Operating Leases (2019 - 2026)
Neighborhood Intelligence (NXH) recorded Operating Leases of $83.07 million in Q2 2026, compared with $6.1 million a year earlier.
Analysis
Neighborhood Intelligence (NXH) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Neighborhood Intelligence reported Operating Leases of $5.64 million, down 12.5% from FY2024.
- Annual Operating Leases has a five-year compound annual growth rate of -15.6% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $6.45 million in FY2024 (+586.4%), $940,000 in FY2023 (-74.1%), $3.63 million in FY2022 (-54.4%) and $7.96 million in FY2021 (-39.7%).
- The Q2 2026 figure is the highest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases rose in two of the last five quarters, with growth averaging 292.6%.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 981.3% in Q1 2025, against a decline of 81.7% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.4 million (Q1 2026), $5.64 million (Q4 2025) and $5.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Neighborhood Intelligence | 244.46 Mn | -333.19 Mn | 96.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.07 Mn |
| Mar 31, 2026 | 5.40 Mn |
| Dec 31, 2025 | 5.64 Mn |
| Sep 30, 2025 | 5.87 Mn |
| Jun 30, 2025 | 6.10 Mn |
| Mar 31, 2025 | 6.29 Mn |
| Dec 31, 2024 | 6.45 Mn |
| Sep 30, 2024 | 355,000.00 |
| Jun 30, 2024 | 425,000.00 |
| Mar 31, 2024 | 582,000.00 |
| Dec 31, 2023 | 940,000.00 |
| Sep 30, 2023 | 1.62 Mn |
| Jun 30, 2023 | 2.32 Mn |
| Mar 31, 2023 | 2.98 Mn |
| Dec 31, 2022 | 3.63 Mn |
| Sep 30, 2022 | 4.14 Mn |
| Jun 30, 2022 | 5.22 Mn |
| Mar 31, 2022 | 6.56 Mn |
| Dec 31, 2021 | 7.96 Mn |
| Sep 30, 2021 | 9.10 Mn |
API Access
Neighborhood Intelligence Operating Leases 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=operating-leases&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();