Barnes & Noble Education (BNED) Total Liabilities (2014 - 2026)
Barnes & Noble Education (BNED) recorded Total Liabilities of $568.36 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), down 18.1% from $694.38 million a year earlier but up 27.6% from the prior quarter.
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Analysis
Barnes & Noble Education (BNED) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Barnes & Noble Education reported Total Liabilities of $445.46 million, down 14.0% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of -9.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $518.1 million in FY2025 (-37.5%), $829.55 million in FY2024 (+0.2%), $827.67 million in FY2023 (-1.8%) and $843.18 million in FY2022 (+14.2%).
- Quarterly Total Liabilities has ranged from $445.46 million in fiscal Q4 2026 to $1.1 billion in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 15.9%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 14.2% in fiscal Q4 2022, against a decline of 37.5% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $445.46 million (Q4 2026), $840.33 million (Q3 2026) and $780.15 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Barnes & Noble Education | 443.39 Mn | 405.31 Mn | 57.05 Mn | 568.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 568.36 Mn |
| May 2, 2026 | 445.46 Mn |
| Jan 31, 2026 | 840.33 Mn |
| Nov 1, 2025 | 780.15 Mn |
| Aug 2, 2025 | 694.38 Mn |
| May 3, 2025 | 518.10 Mn |
| Jan 25, 2025 | 800.24 Mn |
| Oct 26, 2024 | 816.47 Mn |
| Jul 27, 2024 | 823.41 Mn |
| Apr 27, 2024 | 829.55 Mn |
| Jan 27, 2024 | 1.04 Bn |
| Oct 28, 2023 | 1.01 Bn |
| Jul 29, 2023 | 936.76 Mn |
| Apr 29, 2023 | 827.67 Mn |
| Jan 28, 2023 | 1.10 Bn |
| Oct 29, 2022 | 1.04 Bn |
| Jul 30, 2022 | 1.05 Bn |
| Apr 30, 2022 | 843.18 Mn |
| Jan 29, 2022 | 1.03 Bn |
| Oct 30, 2021 | 980.02 Mn |
API Access
Barnes & Noble Education Total Liabilities 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=total-liabilities&ticker=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();