Build-A-Bear Workshop (BBW) Market Capitalization (2010 - 2026)
Build-A-Bear Workshop (BBW) posted Market Capitalization of $422.89 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 34.9% from $649.55 million a year earlier and down 7.0% from the prior quarter.
Build-A-Bear Workshop (BBW) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Build-A-Bear Workshop's Market Capitalization came in at $764.44 million, up 36.2% from FY2025.
- Annual Market Capitalization shows a five-year compound annual growth rate of 53.6% (FY2021 to FY2026).
- In prior fiscal years, Build-A-Bear Workshop's Market Capitalization was $561.31 million in FY2025 (+74.3%), $322 million in FY2024 (-10.0%), $357.62 million in FY2023 (+27.8%) and $279.82 million in FY2022 (+213.1%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Market Capitalization since fiscal Q2 2025.
- On a year-over-year basis, Market Capitalization increased in six of the last eight quarters, with growth averaging 32.1%.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q3 2022, with growth of 287.7%; the weakest was fiscal Q2 2027, with a decline of 34.9%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $454.89 million (Q1 2027), $764.44 million (Q4 2026) and $704.46 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 | 422.89 Mn |
| May 2, 2026 | 454.89 Mn |
| Jan 31, 2026 | 764.44 Mn |
| Nov 1, 2025 | 704.46 Mn |
| Aug 2, 2025 | 649.55 Mn |
| May 3, 2025 | 481.64 Mn |
| Feb 1, 2025 | 561.31 Mn |
| Nov 2, 2024 | 511.86 Mn |
| Aug 3, 2024 | 345.89 Mn |
| May 4, 2024 | 416.73 Mn |
| Feb 3, 2024 | 322.00 Mn |
| Oct 28, 2023 | 351.45 Mn |
| Jul 29, 2023 | 355.03 Mn |
| Apr 29, 2023 | 346.51 Mn |
| Jan 28, 2023 | 357.62 Mn |
| Oct 29, 2022 | 257.72 Mn |
| Jul 30, 2022 | 240.07 Mn |
| Apr 30, 2022 | 297.09 Mn |
| Jan 29, 2022 | 279.82 Mn |
| Oct 30, 2021 | 255.54 Mn |
Build-A-Bear Workshop Market Capitalization 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=market-capitalization&ticker=BBW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=BBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();