Barnes & Noble Education (BNED) Operating Leases (2019 - 2026)
Barnes & Noble Education (BNED) posted Operating Leases of $82.5 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), down 29.6% from $117.21 million a year earlier and down 3.5% from the prior quarter.
Barnes & Noble Education (BNED) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Barnes & Noble Education's Operating Leases came in at $85.46 million, down 26.0% from FY2025.
- Annual Operating Leases has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -14.3% (FY2021 to FY2026).
- In prior fiscal years, Barnes & Noble Education's Operating Leases was $115.5 million in FY2025 (-17.9%), $140.63 million in FY2024 (-23.9%), $184.75 million in FY2023 (-15.9%) and $219.59 million in FY2022 (+18.8%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last 14 quarters, with an average decline of 19.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q4 2022, with growth of 18.8%; the weakest was fiscal Q1 2027, with a decline of 29.6%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $85.46 million (Q4 2026), $103.96 million (Q3 2026) and $113.33 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn |
| 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 |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn |
| 10 | Barnes & Noble Education | 443.39 Mn | 405.31 Mn | 57.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 82.50 Mn |
| May 2, 2026 | 85.46 Mn |
| Jan 31, 2026 | 103.96 Mn |
| Nov 1, 2025 | 113.33 Mn |
| Aug 2, 2025 | 117.21 Mn |
| May 3, 2025 | 115.50 Mn |
| Jan 25, 2025 | 123.43 Mn |
| Oct 26, 2024 | 130.86 Mn |
| Jul 27, 2024 | 138.17 Mn |
| Apr 27, 2024 | 140.63 Mn |
| Jan 27, 2024 | 151.61 Mn |
| Oct 28, 2023 | 156.41 Mn |
| Jul 29, 2023 | 166.75 Mn |
| Apr 29, 2023 | 184.75 Mn |
| Jan 28, 2023 | 188.47 Mn |
| Oct 29, 2022 | 190.76 Mn |
| Jul 30, 2022 | 197.41 Mn |
| Apr 30, 2022 | 219.59 Mn |
| Jan 29, 2022 | 168.92 Mn |
| Oct 30, 2021 | 171.34 Mn |
Barnes & Noble Education Operating Leases 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-leases&ticker=BNED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();