Barnes & Noble Education (BNED) Operating Expenses (2014 - 2026)
Barnes & Noble Education (BNED) reported Operating Expenses of $67.32 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 0.8% from $67.86 million a year earlier and down 5.0% from the prior quarter.
Barnes & Noble Education (BNED) Operating Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Barnes & Noble Education's Operating Expenses came in at $288.03 million, up 4.0% year-over-year; for FY2026 (ended May 2, 2026), it came in at $306.76 million, unchanged from FY2025.
- Operating Expenses has a five-year compound annual growth rate of -3.1% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $306.68 million in FY2025 (-14.4%), $358.26 million in FY2024 (-9.8%), $397.12 million in FY2023 (+3.1%) and $385.04 million in FY2022 (+7.1%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Operating Expenses since fiscal Q3 2025.
- Year over year, Operating Expenses gained in two of the last eight quarters, with an average decline of 4.2%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2023 (growth of 45.5%); the low point was fiscal Q3 2025 (a decline of 23.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $70.86 million (Q4 2026), $72.55 million (Q3 2026) and $77.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Barnes & Noble Education | 443.39 Mn | 405.31 Mn | 57.05 Mn | 67.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 67.32 Mn |
| May 2, 2026 | 70.86 Mn |
| Jan 31, 2026 | 72.55 Mn |
| Nov 1, 2025 | 77.30 Mn |
| Aug 2, 2025 | 67.86 Mn |
| May 3, 2025 | 72.28 Mn |
| Jan 25, 2025 | 63.99 Mn |
| Oct 26, 2024 | 72.79 Mn |
| Jul 27, 2024 | 70.64 Mn |
| Apr 27, 2024 | 75.47 Mn |
| Jan 27, 2024 | 83.17 Mn |
| Oct 28, 2023 | 90.24 Mn |
| Jul 29, 2023 | 82.11 Mn |
| Apr 29, 2023 | 81.82 Mn |
| Jan 28, 2023 | 95.97 Mn |
| Oct 29, 2022 | 99.21 Mn |
| Jul 30, 2022 | 90.72 Mn |
| Apr 30, 2022 | 56.25 Mn |
| Jan 29, 2022 | 101.51 Mn |
| Oct 30, 2021 | 109.02 Mn |
Barnes & Noble Education Operating 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=operating-expenses&ticker=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();