Barnes & Noble Education (BNED) EV to FCF (2015 - 2026)
Barnes & Noble Education's EV to FCF was 8.68 in fiscal Q1 2027 (quarter ended Aug 1, 2026), down 14.8% from the prior quarter.
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Analysis
Barnes & Noble Education (BNED) EV to FCF (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Barnes & Noble Education's EV to FCF was 8.06 through Aug 1, 2026; for FY2026 (ended May 2, 2026), it came in at 10.19.
- In earlier fiscal years, EV to FCF was 123.04 in FY2023.
- The fiscal Q1 2027 figure marks the lowest quarterly EV to FCF in data going back to fiscal Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn |
| 10 | Barnes & Noble Education | 471.89 Mn | 433.81 Mn | 57.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.68 |
| May 2, 2026 | 10.19 |
| Jan 31, 2026 | 42.48 |
| Jan 27, 2024 | 385.79 |
| Oct 28, 2023 | 366.61 |
| Apr 29, 2023 | 123.04 |
| Jul 31, 2021 | 571.41 |
| Oct 26, 2019 | 3,833.16 |
| Jul 27, 2019 | 262.33 |
| Apr 27, 2019 | 277.48 |
| Jan 26, 2019 | 526.21 |
| Oct 27, 2018 | 527.44 |
| Jul 28, 2018 | 547.86 |
| Apr 28, 2018 | 2,124.87 |
| Jan 27, 2018 | 1,159.42 |
| Oct 28, 2017 | 609.87 |
| Jul 29, 2017 | 16,929.06 |
| Apr 29, 2017 | 1,599.22 |
| Jan 28, 2017 | 753.84 |
| Oct 29, 2016 | 314.75 |
API Access
Barnes & Noble Education EV to FCF 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=ev-to-fcf&ticker=BNED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=BNED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();