Barnes & Noble Education (BNED) Intangibles (2014 - 2026)
Barnes & Noble Education (BNED) reported Intangibles of $53.73 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 27.3% from $73.9 million a year earlier and down 7.5% from the prior quarter.
Barnes & Noble Education (BNED) Intangibles (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Barnes & Noble Education posted Intangibles of $58.09 million, down 25.8% from FY2025.
- Intangibles has declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -17.4% (FY2021 to FY2026).
- By fiscal year, Intangibles came in at $78.24 million in FY2025 (-16.9%), $94.19 million in FY2024 (-14.9%), $110.63 million in FY2023 (-12.9%) and $126.99 million in FY2022 (-15.8%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Intangibles in data going back to fiscal Q1 2015.
- Year over year, Intangibles has now declined in each of the last 32 quarters, with an average decline of 19.3% over the last eight quarters.
- Across the past five years, year-over-year decline in Intangibles ran from 12.9% in fiscal Q4 2023 to 27.3% in fiscal Q1 2027.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $58.09 million (Q4 2026), $67.92 million (Q3 2026) and $70.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (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 | 10.48 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 | 5.71 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 | 53.00 Mn |
| 10 | Barnes & Noble Education | 443.39 Mn | 405.31 Mn | 57.05 Mn | 53.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 53.73 Mn |
| May 2, 2026 | 58.09 Mn |
| Jan 31, 2026 | 67.92 Mn |
| Nov 1, 2025 | 70.90 Mn |
| Aug 2, 2025 | 73.90 Mn |
| May 3, 2025 | 78.24 Mn |
| Jan 25, 2025 | 81.63 Mn |
| Oct 26, 2024 | 85.14 Mn |
| Jul 27, 2024 | 87.83 Mn |
| Apr 27, 2024 | 94.19 Mn |
| Jan 27, 2024 | 97.95 Mn |
| Oct 28, 2023 | 104.03 Mn |
| Jul 29, 2023 | 107.41 Mn |
| Apr 29, 2023 | 110.63 Mn |
| Jan 28, 2023 | 114.27 Mn |
| Oct 29, 2022 | 120.53 Mn |
| Jul 30, 2022 | 123.34 Mn |
| Apr 30, 2022 | 126.99 Mn |
| Jan 29, 2022 | 133.98 Mn |
| Oct 30, 2021 | 141.85 Mn |
Barnes & Noble Education Intangibles 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=intangibles&ticker=BNED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();