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.
Powered by 
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 | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn |
| 10 | Barnes & Noble Education | 443.39 Mn | 405.31 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();