Neighborhood Intelligence (NXH) Return on Equity [ROE] (2011 - 2026)
Neighborhood Intelligence (NXH) recorded Return on Equity [ROE] of -38.94% in Q2 2026, up 107.85 percentage points from -146.78% a year earlier but down 9.87 percentage points from the prior quarter.
Neighborhood Intelligence (NXH) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2025, Neighborhood Intelligence reported Return on Equity [ROE] of -44.46%, up 54.72 percentage points from FY2024.
- Annual Return on Equity [ROE] has a five-year change of -59.49 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Equity [ROE] came in at -99.18% in FY2024 (-37.92 pp), -61.26% in FY2023 (-56.20 pp), -5.07% in FY2022 (-70.97 pp) and 65.90% in FY2021 (+50.86 pp).
- Quarterly Return on Equity [ROE] has ranged from -151.62% in Q3 2024 to 53.53% in Q4 2021 over the past five years.
- On a year-over-year basis, Return on Equity [ROE] has increased for four consecutive quarters, with an average year-over-year change of +18.32 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 117.80 percentage points in Q1 2026, against a drop of 121.81 percentage points in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -29.07% (Q1 2026), -40.21% (Q4 2025) and -86.79% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 26.64% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 93.32% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 57.63% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 40.76% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 25.85% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 43.64% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Neighborhood Intelligence | 240.37 Mn | -337.28 Mn | 96.68 Mn | -38.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.94% |
| Mar 31, 2026 | -29.07% |
| Dec 31, 2025 | -40.21% |
| Sep 30, 2025 | -86.79% |
| Jun 30, 2025 | -146.78% |
| Mar 31, 2025 | -146.87% |
| Dec 31, 2024 | -144.21% |
| Sep 30, 2024 | -151.62% |
| Jun 30, 2024 | -126.57% |
| Mar 31, 2024 | -114.85% |
| Dec 31, 2023 | -70.34% |
| Sep 30, 2023 | -29.81% |
| Jun 30, 2023 | -22.46% |
| Mar 31, 2023 | -8.66% |
| Dec 31, 2022 | -5.33% |
| Sep 30, 2022 | 1.91% |
| Jun 30, 2022 | 11.19% |
| Mar 31, 2022 | 51.90% |
| Dec 31, 2021 | 53.53% |
| Sep 30, 2021 | 52.87% |
Neighborhood Intelligence Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=NXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();