Build-A-Bear Workshop (BBW) Enterprise Value (2010 - 2026)
Build-A-Bear Workshop (BBW) recorded Enterprise Value of $408.88 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 33.0% from $610.44 million a year earlier and down 4.6% from the prior quarter.
Build-A-Bear Workshop (BBW) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Build-A-Bear Workshop's Enterprise Value came in at $328.14 million as of Aug 1, 2026, down 35.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $737.68 million, up 38.3% from FY2025.
- Annual Enterprise Value has a five-year compound annual growth rate of 68.4% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $533.55 million in FY2025 (+92.2%), $277.67 million in FY2024 (-12.0%), $315.43 million in FY2023 (+27.7%) and $246.97 million in FY2022 (+352.9%).
- The fiscal Q2 2027 figure is the lowest quarterly Enterprise Value since fiscal Q2 2025.
- On a year-over-year basis, Enterprise Value rose in six of the last eight quarters, with growth averaging 36.2%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 416.2% in fiscal Q3 2022, against a decline of 33.0% in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $428.65 million (Q1 2027), $737.68 million (Q4 2026) and $676.72 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Build-A-Bear Workshop | 316.04 Mn | 221.30 Mn | 62.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 408.88 Mn |
| May 2, 2026 | 428.65 Mn |
| Jan 31, 2026 | 737.68 Mn |
| Nov 1, 2025 | 676.72 Mn |
| Aug 2, 2025 | 610.44 Mn |
| May 3, 2025 | 437.30 Mn |
| Feb 1, 2025 | 533.55 Mn |
| Nov 2, 2024 | 482.90 Mn |
| Aug 3, 2024 | 320.73 Mn |
| May 4, 2024 | 378.50 Mn |
| Feb 3, 2024 | 277.67 Mn |
| Oct 28, 2023 | 326.65 Mn |
| Jul 29, 2023 | 322.39 Mn |
| Apr 29, 2023 | 313.69 Mn |
| Jan 28, 2023 | 315.43 Mn |
| Oct 29, 2022 | 245.70 Mn |
| Jul 30, 2022 | 225.64 Mn |
| Apr 30, 2022 | 271.00 Mn |
| Jan 29, 2022 | 246.97 Mn |
| Oct 30, 2021 | 207.04 Mn |
Build-A-Bear Workshop Enterprise Value 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=enterprise-value&ticker=BBW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "BBW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=BBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();