Build-A-Bear Workshop (BBW) EBITDA (2011 - 2026)
Build-A-Bear Workshop (BBW) posted EBITDA of $15.19 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 19.1% from $18.78 million a year earlier and down 45.3% from the prior quarter.
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Analysis
Build-A-Bear Workshop (BBW) EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBITDA at Build-A-Bear Workshop was $82.41 million, down 8.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $81.38 million, up 0.4% from FY2025.
- Annual EBITDA has increased for four consecutive fiscal years.
- In prior fiscal years, Build-A-Bear Workshop's EBITDA was $81.05 million in FY2025 (+2.5%), $79.06 million in FY2024 (+6.2%), $74.43 million in FY2023 (+18.2%) and $62.98 million in FY2022.
- Quarterly EBITDA has run from a low of $10.67 million in fiscal Q2 2023 to a high of $31.14 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, EBITDA increased in five of the last eight quarters, with growth averaging 6.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2022, with growth of 124.8%; the weakest was fiscal Q2 2027, with a decline of 19.1%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $27.75 million (Q1 2027), $25.26 million (Q4 2026) and $14.21 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Build-A-Bear Workshop | 316.04 Mn | 221.30 Mn | 62.49 Mn | 15.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 15.19 Mn |
| May 2, 2026 | 27.75 Mn |
| Jan 31, 2026 | 25.26 Mn |
| Nov 1, 2025 | 14.21 Mn |
| Aug 2, 2025 | 18.78 Mn |
| May 3, 2025 | 23.13 Mn |
| Feb 1, 2025 | 31.14 Mn |
| Nov 2, 2024 | 16.66 Mn |
| Aug 3, 2024 | 14.99 Mn |
| May 4, 2024 | 18.26 Mn |
| Feb 3, 2024 | 29.86 Mn |
| Oct 28, 2023 | 13.30 Mn |
| Jul 29, 2023 | 13.54 Mn |
| Apr 29, 2023 | 22.36 Mn |
| Jan 28, 2023 | 29.38 Mn |
| Oct 29, 2022 | 12.91 Mn |
| Jul 30, 2022 | 10.67 Mn |
| Apr 30, 2022 | 21.46 Mn |
| Jan 29, 2022 | 23.26 Mn |
| Oct 30, 2021 | 10.94 Mn |
API Access
Build-A-Bear Workshop EBITDA 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=ebitda&ticker=BBW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();