Barnes & Noble Education (BNED) Accumulated Expenses (2014 - 2026)
Barnes & Noble Education's Accumulated Expenses was $78.89 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 13.1% from $69.73 million a year earlier but down 2.6% from the prior quarter.
Barnes & Noble Education (BNED) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Accumulated Expenses at Barnes & Noble Education came in at $80.99 million, up 23.0% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of -2.9% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $65.85 million in FY2025 (-33.2%), $98.62 million in FY2024 (+15.0%), $85.76 million in FY2023 (-3.1%) and $88.54 million in FY2022 (-5.4%).
- Quarterly Accumulated Expenses has moved between $65.85 million (fiscal Q4 2025) and $189.18 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 5.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2024 (growth of 42.3%); the worst was fiscal Q4 2025 (a decline of 33.2%).
- Per Business Quant data, BNED's Accumulated Expenses in the three fiscal quarters before Q1 2027 was $80.99 million (Q4 2026), $186.92 million (Q3 2026) and $103.89 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,709.48 Bn | 2,226.18 Bn | 104.83 Bn |
| 2 | Home Depot | 322.00 Bn | 315.24 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.37 Bn | 139.91 Bn | 5.07 Bn |
| 4 | Lowes Companies | 113.49 Bn | 106.45 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.92 Bn | 74.01 Bn | 2.52 Bn |
| 6 | Ross Stores | 74.74 Bn | 57.66 Bn | 2.12 Bn |
| 7 | Target | 70.56 Bn | 65.15 Bn | 8.94 Bn |
| 8 | Autozone | 52.93 Bn | 51.83 Bn | 2.52 Bn |
| 9 | Carvana | 42.02 Bn | 32.51 Bn | 1.38 Bn |
| 10 | Barnes & Noble Education | 477.06 Mn | 438.97 Mn | 57.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 78.89 Mn |
| May 2, 2026 | 80.99 Mn |
| Jan 31, 2026 | 186.92 Mn |
| Nov 1, 2025 | 103.89 Mn |
| Aug 2, 2025 | 69.73 Mn |
| May 3, 2025 | 65.85 Mn |
| Jan 25, 2025 | 147.99 Mn |
| Oct 26, 2024 | 123.04 Mn |
| Jul 27, 2024 | 94.15 Mn |
| Apr 27, 2024 | 98.62 Mn |
| Jan 27, 2024 | 189.18 Mn |
| Oct 28, 2023 | 132.02 Mn |
| Jul 29, 2023 | 106.44 Mn |
| Apr 29, 2023 | 85.76 Mn |
| Jan 28, 2023 | 132.94 Mn |
| Oct 29, 2022 | 113.63 Mn |
| Jul 30, 2022 | 88.98 Mn |
| Apr 30, 2022 | 88.54 Mn |
| Jan 29, 2022 | 150.75 Mn |
| Oct 30, 2021 | 122.73 Mn |
Barnes & Noble Education Accumulated Expenses 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=accumulated-expenses&ticker=BNED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();