Barnes & Noble Education (BNED) Enterprise Value (2015 - 2026)
Barnes & Noble Education (BNED) posted Enterprise Value of $423.69 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 52.4% from $278.03 million a year earlier and up 22.7% from the prior quarter.
Barnes & Noble Education (BNED) Enterprise Value (2015 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Enterprise Value at Barnes & Noble Education was $393.41 million, up 58.5% year-over-year; for FY2026 (ended May 2, 2026), it was $345.18 million, up 31.0% from FY2025.
- Annual Enterprise Value shows a five-year compound annual growth rate of -61.5% (FY2021 to FY2026).
- In prior fiscal years, Barnes & Noble Education's Enterprise Value was $263.4 million in FY2025 (+519.5%), $42.51 million in FY2024 (-99.5%), $8.19 billion in FY2023 (-48.2%) and $15.81 billion in FY2022 (-61.1%).
- The fiscal Q1 2027 figure stands as the highest quarterly Enterprise Value since fiscal Q3 2024.
- On a year-over-year basis, Enterprise Value increased in five of the last eight quarters, with growth averaging 65.7%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q4 2025, with growth of 519.5%; the weakest was fiscal Q4 2024, with a decline of 99.5%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $345.18 million (Q4 2026), $296.8 million (Q3 2026) and $299.19 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Barnes & Noble Education | 471.89 Mn | 433.81 Mn | 57.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 423.69 Mn |
| May 2, 2026 | 345.18 Mn |
| Jan 31, 2026 | 296.80 Mn |
| Nov 1, 2025 | 299.19 Mn |
| Aug 2, 2025 | 278.03 Mn |
| May 3, 2025 | 263.40 Mn |
| Jan 25, 2025 | 375.28 Mn |
| Oct 26, 2024 | 266.15 Mn |
| Jul 27, 2024 | 127.57 Mn |
| Apr 27, 2024 | 42.51 Mn |
| Jan 27, 2024 | 4.84 Bn |
| Oct 28, 2023 | 5.14 Bn |
| Jul 29, 2023 | 6.58 Bn |
| Apr 29, 2023 | 8.19 Bn |
| Jan 28, 2023 | 12.46 Bn |
| Oct 29, 2022 | 14.50 Bn |
| Jul 30, 2022 | 14.18 Bn |
| Apr 30, 2022 | 15.81 Bn |
| Jan 29, 2022 | 29.40 Bn |
| Oct 30, 2021 | 53.94 Bn |
Barnes & Noble Education Enterprise Value 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=enterprise-value&ticker=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();