Barnes & Noble Education (BNED) Price to Earnings (2015 - 2026)
Barnes & Noble Education's (BNED) Price to Earnings stood at 19.41 in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 34.9% from 14.39 a year earlier but down 7.4% from the prior quarter.
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Analysis
Barnes & Noble Education (BNED) Price to Earnings (2015 - 2026) Analysis & Trends
For FY2026 (ended May 2, 2026), Barnes & Noble Education's Price to Earnings came in at 20.96.
- Quarterly Price to Earnings has ranged from 14.39 in fiscal Q1 2026 to 186.06 in fiscal Q2 2026 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,673.30 Bn | 2,189.99 Bn | 104.83 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn |
| 3 | Tjx Companies | 159.98 Bn | 137.53 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.08 Bn | 104.04 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.70 Bn | 73.79 Bn | 2.52 Bn |
| 6 | Ross Stores | 72.82 Bn | 55.75 Bn | 2.12 Bn |
| 7 | Target | 69.27 Bn | 63.86 Bn | 8.94 Bn |
| 8 | Autozone | 52.97 Bn | 51.88 Bn | 2.52 Bn |
| 9 | Carvana | 41.25 Bn | 31.74 Bn | 1.38 Bn |
| 10 | Barnes & Noble Education | 468.25 Mn | 430.17 Mn | 57.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 19.41 |
| May 2, 2026 | 20.96 |
| Nov 1, 2025 | 186.06 |
| Aug 2, 2025 | 14.39 |
| Jan 26, 2019 | 698.11 |
| Oct 28, 2017 | 1,721.96 |
| Apr 29, 2017 | 9,032.68 |
| Jan 28, 2017 | 20,089.88 |
| Apr 30, 2016 | 520,984.29 |
| Jan 30, 2016 | 19,883.88 |
| Oct 31, 2015 | 4,780.54 |
| Aug 1, 2015 | 3,753.34 |
API Access
Barnes & Noble Education 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=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();