Barnes & Noble Education (BNED) Shares Outstanding (2014 - 2026)
Barnes & Noble Education (BNED) reported Shares Outstanding of 34.53 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 1.4% from 34.05 million a year earlier and up 0.6% from the prior quarter.
Barnes & Noble Education (BNED) Shares Outstanding (2014 - 2026) Analysis & Trends
For FY2026 (ended May 2, 2026), Barnes & Noble Education posted Shares Outstanding of 34.33 million, up 30.5% from FY2025.
- Shares Outstanding has a five-year compound annual growth rate of -7.1% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding came in at 26.3 million in FY2025 (+887.9%), 2.66 million in FY2024 (-94.9%), 52.45 million in FY2023 (+1.3%) and 51.8 million in FY2022 (+4.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Shares Outstanding since fiscal Q3 2024.
- Year over year, Shares Outstanding has now increased in each of the last six quarters, with growth averaging 127.6% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was fiscal Q4 2025 (growth of 887.9%); the low point was fiscal Q4 2024 (a decline of 94.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 34.33 million (Q4 2026), 34.45 million (Q3 2026) and 34.05 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 317.69 Mn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 825.20 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 454.40 Mn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 16.47 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 717.69 Mn |
| 10 | Barnes & Noble Education | 463.24 Mn | 425.16 Mn | 57.05 Mn | 34.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 34.53 Mn |
| May 2, 2026 | 34.33 Mn |
| Jan 31, 2026 | 34.45 Mn |
| Nov 1, 2025 | 34.05 Mn |
| Aug 2, 2025 | 34.05 Mn |
| May 3, 2025 | 26.30 Mn |
| Jan 25, 2025 | 30.51 Mn |
| Oct 26, 2024 | 26.53 Mn |
| Jul 27, 2024 | 13.51 Mn |
| Apr 27, 2024 | 2.66 Mn |
| Jan 27, 2024 | 53.15 Mn |
| Oct 28, 2023 | 52.79 Mn |
| Jul 29, 2023 | 52.64 Mn |
| Apr 29, 2023 | 52.45 Mn |
| Jan 28, 2023 | 52.60 Mn |
| Oct 29, 2022 | 52.44 Mn |
| Jul 30, 2022 | 52.17 Mn |
| Apr 30, 2022 | 51.80 Mn |
| Jan 29, 2022 | 52.00 Mn |
| Oct 30, 2021 | 51.67 Mn |
Barnes & Noble Education Shares Outstanding 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=shares-outstanding&ticker=BNED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();