Barnes & Noble Education (BNED) Change in Accured Expenses (2014 - 2026)
Barnes & Noble Education (BNED) posted Change in Accured Expenses of $72.05 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 22.9% from $93.44 million a year earlier.
Barnes & Noble Education (BNED) Change in Accured Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Change in Accured Expenses at Barnes & Noble Education was -$14.6 million; for FY2026 (ended May 2, 2026), it came in at $6.8 million.
- In prior fiscal years, Barnes & Noble Education's Change in Accured Expenses was -$181.26 million in FY2025, $25.26 million in FY2024 (-69.3%), $82.34 million in FY2023 (+79.2%) and $45.94 million in FY2022.
- Quarterly Change in Accured Expenses has run from a low of -$286.54 million in fiscal Q4 2026 to a high of $143.04 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 63.1%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q2 2024, with growth of 373.3%; the weakest was fiscal Q1 2024, with a decline of 91.0%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$286.54 million (Q4 2026), $56.85 million (Q3 2026) and $143.04 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 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 | 595.00 Mn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 111.71 Mn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 199.00 Mn |
| 10 | Barnes & Noble Education | 443.39 Mn | 405.31 Mn | 57.05 Mn | 72.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 72.05 Mn |
| May 2, 2026 | -286.54 Mn |
| Jan 31, 2026 | 56.85 Mn |
| Nov 1, 2025 | 143.04 Mn |
| Aug 2, 2025 | 93.44 Mn |
| May 3, 2025 | -236.87 Mn |
| Jan 25, 2025 | 29.58 Mn |
| Oct 26, 2024 | 61.82 Mn |
| Jul 27, 2024 | -35.78 Mn |
| Apr 27, 2024 | -130.78 Mn |
| Jan 27, 2024 | 11.04 Mn |
| Oct 28, 2023 | 132.41 Mn |
| Jul 29, 2023 | 12.58 Mn |
| Apr 29, 2023 | -134.51 Mn |
| Jan 28, 2023 | 48.44 Mn |
| Oct 29, 2022 | 27.98 Mn |
| Jul 30, 2022 | 140.44 Mn |
| Apr 30, 2022 | -233.39 Mn |
| Jan 29, 2022 | 54.69 Mn |
| Oct 30, 2021 | 32.70 Mn |
Barnes & Noble Education Change in Accured 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=change-in-accured-expenses&ticker=BNED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();