Barnes & Noble Education (BNED) Cash from Operations (2014 - 2026)
Barnes & Noble Education (BNED) posted Cash from Operations of -$52.87 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), compared with -$67.6 million a year earlier.
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Analysis
Barnes & Noble Education (BNED) Cash from Operations (2014 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Cash from Operations at Barnes & Noble Education was $64.79 million; for FY2026 (ended May 2, 2026), it was $50.06 million.
- Annual Cash from Operations shows a five-year compound annual growth rate of 13.1% (FY2021 to FY2026).
- In prior fiscal years, Barnes & Noble Education's Cash from Operations was -$85.41 million in FY2025, -$5.12 million in FY2024, $91.67 million in FY2023 and -$16.2 million in FY2022.
- Quarterly Cash from Operations has run from a low of -$143.5 million in fiscal Q1 2025 to a high of $114.27 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, Cash from Operations increased in two of the last four quarters, with growth averaging 5.9%.
- According to Business Quant data, Cash from Operations for the three prior fiscal quarters was $80.81 million (Q4 2026), -$29.39 million (Q3 2026) and $66.24 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | 3.66 Bn |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 1.01 Bn |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | 875.76 Mn |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | 3.80 Bn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 801.99 Mn |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 238.00 Mn |
| 10 | Barnes & Noble Education | 467.22 Mn | 429.13 Mn | 57.05 Mn | -52.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -52.87 Mn |
| May 2, 2026 | 80.81 Mn |
| Jan 31, 2026 | -29.39 Mn |
| Nov 1, 2025 | 66.24 Mn |
| Aug 2, 2025 | -67.60 Mn |
| May 3, 2025 | 52.62 Mn |
| Jan 25, 2025 | -41.95 Mn |
| Oct 26, 2024 | 47.41 Mn |
| Jul 27, 2024 | -143.50 Mn |
| Apr 27, 2024 | 81.75 Mn |
| Jan 27, 2024 | -35.77 Mn |
| Oct 28, 2023 | 72.03 Mn |
| Jul 29, 2023 | -123.12 Mn |
| Apr 29, 2023 | 114.27 Mn |
| Jan 28, 2023 | -32.67 Mn |
| Oct 29, 2022 | 26.27 Mn |
| Jul 30, 2022 | -16.20 Mn |
| Apr 30, 2022 | -24.10 Mn |
| Jan 29, 2022 | -16.38 Mn |
| Oct 30, 2021 | -2.77 Mn |
API Access
Barnes & Noble Education Cash from Operations 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-from-operations&ticker=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();