Barnes & Noble Education (BNED) Net Shares Issued and Repurchased (2015 - 2025)
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Analysis
Barnes & Noble Education (BNED) Net Shares Issued and Repurchased (2015 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Shares Issued (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 | 159.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | -750.00 Mn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 66.00 Mn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | -1.49 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | -312.18 Mn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | -3.00 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 1.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | -662.71 Mn |
| 10 | Barnes & Noble Education | 434.41 Mn | 396.33 Mn | 57.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 3, 2025 | -1,000.00 |
| Jan 25, 2025 | 68.86 Mn |
| Oct 26, 2024 | 9.59 Mn |
| Jul 27, 2024 | 95.00 Mn |
| Jan 27, 2024 | -4,000.00 |
| Oct 28, 2023 | -74,000.00 |
| Jul 29, 2023 | -98,000.00 |
| Jan 28, 2023 | -7,000.00 |
| Oct 29, 2022 | -245,000.00 |
| Jul 30, 2022 | -612,000.00 |
| Jan 29, 2022 | 208,000.00 |
| Oct 30, 2021 | -1.14 Mn |
| Jul 31, 2021 | -1.22 Mn |
| May 1, 2021 | 21.74 Mn |
| Jan 30, 2021 | 10.86 Mn |
| Oct 31, 2020 | -539,000.00 |
| Aug 1, 2020 | -342,000.00 |
| Oct 26, 2019 | -1.23 Mn |
| Jul 27, 2019 | -40,000.00 |
| Apr 27, 2019 | -6,000.00 |
API Access
Barnes & Noble Education Net Shares Issued and Repurchased 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=net-shares-issued-and-repurchased&ticker=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-shares-issued-and-repurchased", "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=net-shares-issued-and-repurchased&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();