Neighborhood Intelligence (NXH) Price to Earnings (2012 - 2022)
Neighborhood Intelligence's (NXH) Price to Earnings stood at 84.27 in Q3 2022, up 827.8% from 9.08 a year earlier and up 494.6% from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Price to Earnings (2012 - 2022) Analysis & Trends
For FY2021, Neighborhood Intelligence's Price to Earnings came in at 6.52, down 82.2% from FY2020.
- Across earlier years, Price to Earnings came in at 36.63 in FY2020.
- The Q3 2022 figure is the highest quarterly Price to Earnings since Q3 2020.
- On a year-over-year basis, Price to Earnings rose in two of the last five quarters, with growth averaging 119.0%.
- Per Business Quant, the preceding three quarters came in at 14.17 (Q2 2022), 4.90 (Q1 2022) and 6.52 (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 84.27 |
| Jun 30, 2022 | 14.17 |
| Mar 31, 2022 | 4.90 |
| Dec 31, 2021 | 6.52 |
| Sep 30, 2021 | 9.08 |
| Jun 30, 2021 | 10.96 |
| Mar 31, 2021 | 32.22 |
| Dec 31, 2020 | 36.63 |
| Sep 30, 2020 | 189.00 |
| Dec 31, 2016 | 35.54 |
| Sep 30, 2016 | 40.77 |
| Jun 30, 2016 | 38.66 |
| Mar 31, 2016 | 27.69 |
| Dec 31, 2015 | 126.69 |
| Sep 30, 2015 | 117.22 |
| Jun 30, 2015 | 74.27 |
| Mar 31, 2015 | 77.13 |
| Dec 31, 2014 | 65.89 |
| Sep 30, 2014 | 5.00 |
| Jun 30, 2014 | 4.57 |
API Access
Neighborhood Intelligence Price to Earnings 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=price-to-earnings&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();