Barnes & Noble Education (BNED) EBITDA (2014 - 2026)
Barnes & Noble Education's EBITDA came in at -$9.11 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), compared with -$13.98 million a year earlier.
Barnes & Noble Education (BNED) EBITDA (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Barnes & Noble Education reported EBITDA of $74.17 million, up 13.2% year-over-year; for FY2026 (ended May 2, 2026), it came in at $69.29 million, up 28.6% from FY2025.
- Going back by fiscal year, EBITDA was $53.86 million in FY2025 (+696.3%), $6.76 million in FY2024, -$24.28 million in FY2023 and -$18.49 million in FY2022.
- The five-year range for quarterly EBITDA is -$34.71 million (fiscal Q1 2023) to $55.69 million (fiscal Q2 2025).
- Year-over-year, EBITDA increased in two of the last four quarters, with growth averaging 27.4%.
- Business Quant data shows BNED's EBITDA at $12.8 million (Q4 2026), $22.05 million (Q3 2026) and $48.42 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Barnes & Noble Education | 443.39 Mn | 405.31 Mn | 57.05 Mn | -8.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -8.19 Mn |
| May 2, 2026 | 13.72 Mn |
| Jan 31, 2026 | 22.96 Mn |
| Nov 1, 2025 | 49.34 Mn |
| Aug 2, 2025 | -13.07 Mn |
| May 3, 2025 | -2.01 Mn |
| Jan 25, 2025 | 27.66 Mn |
| Oct 26, 2024 | 56.60 Mn |
| Jul 27, 2024 | -23.23 Mn |
| Apr 27, 2024 | -16.66 Mn |
| Jan 27, 2024 | 15.61 Mn |
| Oct 28, 2023 | 53.62 Mn |
| Jul 29, 2023 | -32.66 Mn |
| Apr 29, 2023 | -22.46 Mn |
| Jan 28, 2023 | -4.11 Mn |
| Oct 29, 2022 | 39.57 Mn |
| Jul 30, 2022 | -34.13 Mn |
| Apr 30, 2022 | -9.18 Mn |
| Jan 29, 2022 | -19.20 Mn |
| Oct 30, 2021 | 38.22 Mn |
Barnes & Noble Education EBITDA 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=ebitda&ticker=BNED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();