Barnes & Noble Education (BNED) Market Capitalization (2015 - 2026)
Barnes & Noble Education (BNED) posted Market Capitalization of $431.49 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 51.2% from $285.37 million a year earlier and up 22.0% from the prior quarter.
Barnes & Noble Education (BNED) Market Capitalization (2015 - 2026) Analysis & Trends
For FY2026 (ended May 2, 2026), Barnes & Noble Education's Market Capitalization came in at $353.59 million, up 29.8% from FY2025.
- Annual Market Capitalization shows a five-year compound annual growth rate of -61.3% (FY2021 to FY2026).
- In prior fiscal years, Barnes & Noble Education's Market Capitalization was $272.46 million in FY2025 (+414.3%), $52.97 million in FY2024 (-99.4%), $8.21 billion in FY2023 (-48.1%) and $15.82 billion in FY2022 (-61.1%).
- The fiscal Q1 2027 figure stands as the highest quarterly Market Capitalization since fiscal Q3 2024.
- On a year-over-year basis, Market Capitalization increased in five of the last eight quarters, with growth averaging 51.3%.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q4 2025, with growth of 414.3%; the weakest was fiscal Q4 2024, with a decline of 99.4%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $353.59 million (Q4 2026), $306.94 million (Q3 2026) and $310.91 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | Barnes & Noble Education | 463.24 Mn | 425.16 Mn | 57.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 431.49 Mn |
| May 2, 2026 | 353.59 Mn |
| Jan 31, 2026 | 306.94 Mn |
| Nov 1, 2025 | 310.91 Mn |
| Aug 2, 2025 | 285.37 Mn |
| May 3, 2025 | 272.46 Mn |
| Jan 25, 2025 | 384.47 Mn |
| Oct 26, 2024 | 277.77 Mn |
| Jul 27, 2024 | 135.79 Mn |
| Apr 27, 2024 | 52.97 Mn |
| Jan 27, 2024 | 4.85 Bn |
| Oct 28, 2023 | 5.16 Bn |
| Jul 29, 2023 | 6.59 Bn |
| Apr 29, 2023 | 8.21 Bn |
| Jan 28, 2023 | 12.47 Bn |
| Oct 29, 2022 | 14.52 Bn |
| Jul 30, 2022 | 14.19 Bn |
| Apr 30, 2022 | 15.82 Bn |
| Jan 29, 2022 | 29.41 Bn |
| Oct 30, 2021 | 53.95 Bn |
Barnes & Noble Education Market Capitalization 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=market-capitalization&ticker=BNED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();