Barnes & Noble Education (BNED) Cash & Equivalents (2014 - 2026)
Barnes & Noble Education's Cash & Equivalents was $7.81 million in fiscal Q1 2027 (quarter ended Aug 1, 2026), up 6.3% from $7.34 million a year earlier but down 7.3% from the prior quarter.
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Analysis
Barnes & Noble Education (BNED) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended May 2, 2026), Cash & Equivalents at Barnes & Noble Education came in at $8.42 million, down 7.1% from FY2025.
- Cash & Equivalents has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 1.0% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $9.06 million in FY2025 (-13.4%), $10.46 million in FY2024 (-26.4%), $14.22 million in FY2023 (+61.7%) and $8.8 million in FY2022 (+9.6%).
- Quarterly Cash & Equivalents has moved between $7.34 million (fiscal Q1 2026) and $17.3 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with an average decline of 2.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2023 (growth of 61.7%); the worst was fiscal Q4 2024 (a decline of 26.4%).
- Per Business Quant data, BNED's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $8.42 million (Q4 2026), $10.14 million (Q3 2026) and $11.72 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 4.29 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 262.18 Mn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | - |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 253.73 Mn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 2.63 Bn |
| 10 | Barnes & Noble Education | 443.39 Mn | 405.31 Mn | 57.05 Mn | 7.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.81 Mn |
| May 2, 2026 | 8.42 Mn |
| Jan 31, 2026 | 10.14 Mn |
| Nov 1, 2025 | 11.72 Mn |
| Aug 2, 2025 | 7.34 Mn |
| May 3, 2025 | 9.06 Mn |
| Jan 25, 2025 | 9.19 Mn |
| Oct 26, 2024 | 11.62 Mn |
| Jul 27, 2024 | 8.21 Mn |
| Apr 27, 2024 | 10.46 Mn |
| Jan 27, 2024 | 8.12 Mn |
| Oct 28, 2023 | 15.01 Mn |
| Jul 29, 2023 | 7.66 Mn |
| Apr 29, 2023 | 14.22 Mn |
| Jan 28, 2023 | 9.42 Mn |
| Oct 29, 2022 | 17.30 Mn |
| Jul 30, 2022 | 7.62 Mn |
| Apr 30, 2022 | 8.80 Mn |
| Jan 29, 2022 | 9.97 Mn |
| Oct 30, 2021 | 11.00 Mn |
API Access
Barnes & Noble Education Cash & Equivalents 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=cash-and-equivalents&ticker=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();