Barnes & Noble Education (BNED) Inventory (2014 - 2026)
Barnes & Noble Education (BNED) reported Inventory of $366.3 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 8.6% from $400.57 million a year earlier but up 22.8% from the prior quarter.
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Analysis
Barnes & Noble Education (BNED) Inventory (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Barnes & Noble Education posted Inventory of $298.35 million, down 0.4% from FY2025.
- Inventory has a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $299.56 million in FY2025 (-12.9%), $344.04 million in FY2024 (+6.5%), $322.98 million in FY2023 (+9.9%) and $293.85 million in FY2022 (+4.5%).
- Five-year quarterly Inventory spans a low of $293.85 million in fiscal Q4 2022 and a high of $463.56 million in fiscal Q1 2023.
- Year over year, Inventory gained in three of the last eight quarters, with an average decline of 4.1%.
- The high point for year-over-year Inventory in five years was fiscal Q4 2023 (growth of 9.9%); the low point was fiscal Q2 2022 (a decline of 19.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $298.35 million (Q4 2026), $329.43 million (Q3 2026) and $329.12 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 3.26 Bn |
| 10 | Barnes & Noble Education | 443.39 Mn | 405.31 Mn | 57.05 Mn | 366.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 366.30 Mn |
| May 2, 2026 | 298.35 Mn |
| Jan 31, 2026 | 329.43 Mn |
| Nov 1, 2025 | 329.12 Mn |
| Aug 2, 2025 | 400.57 Mn |
| May 3, 2025 | 299.56 Mn |
| Jan 25, 2025 | 326.83 Mn |
| Oct 26, 2024 | 315.47 Mn |
| Jul 27, 2024 | 395.27 Mn |
| Apr 27, 2024 | 344.04 Mn |
| Jan 27, 2024 | 341.54 Mn |
| Oct 28, 2023 | 364.29 Mn |
| Jul 29, 2023 | 384.19 Mn |
| Apr 29, 2023 | 322.98 Mn |
| Jan 28, 2023 | 408.92 Mn |
| Oct 29, 2022 | 371.57 Mn |
| Jul 30, 2022 | 463.56 Mn |
| Apr 30, 2022 | 293.85 Mn |
| Jan 29, 2022 | 403.65 Mn |
| Oct 30, 2021 | 370.53 Mn |
API Access
Barnes & Noble Education Inventory 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=inventory&ticker=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();