Barnes & Noble Education (BNED) Buildings (2014 - 2016)
Barnes & Noble Education (BNED) posted Buildings of $167.28 million for fiscal Q3 2016 (quarter ended Jan 30, 2016), up 9.5% from $152.82 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Barnes & Noble Education (BNED) Buildings (2014 - 2016) Analysis & Trends
At the end of FY2015 (ended May 2, 2015), Barnes & Noble Education's Buildings came in at $149.07 million.
- On a year-over-year basis, Buildings has increased in each of the last three quarters.
- According to Business Quant data, Buildings for the three prior fiscal quarters was $159.23 million (Q2 2016), $154.52 million (Q1 2016) and $149.07 million (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn |
| 10 | Barnes & Noble Education | 434.41 Mn | 396.33 Mn | 57.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 30, 2016 | 167.28 Mn |
| Oct 31, 2015 | 159.23 Mn |
| Aug 1, 2015 | 154.52 Mn |
| May 2, 2015 | 149.07 Mn |
| Jan 31, 2015 | 152.82 Mn |
| Nov 1, 2014 | 145.84 Mn |
| Aug 2, 2014 | 137.75 Mn |
API Access
Barnes & Noble Education Buildings 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=buildings&ticker=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "BNED", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();