Build-A-Bear Workshop (BBW) Operating Expenses (2010 - 2026)
Build-A-Bear Workshop (BBW) reported Operating Expenses of $51.41 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 8.8% from $56.4 million a year earlier and down 8.4% from the prior quarter.
Build-A-Bear Workshop (BBW) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Build-A-Bear Workshop's Operating Expenses came in at $226.79 million, up 3.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $229.2 million, up 11.1% from FY2025.
- Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 14.3% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $206.24 million in FY2025 (+3.6%), $198.99 million in FY2024 (+8.2%), $183.93 million in FY2023 (+10.0%) and $167.25 million in FY2022 (+42.2%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Operating Expenses since fiscal Q2 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 6.3%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 36.2%); the low point was fiscal Q2 2027 (a decline of 8.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $56.13 million (Q1 2027), $63.94 million (Q4 2026) and $55.31 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Build-A-Bear Workshop | 316.04 Mn | 221.30 Mn | 62.49 Mn | 51.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 51.41 Mn |
| May 2, 2026 | 56.13 Mn |
| Jan 31, 2026 | 63.94 Mn |
| Nov 1, 2025 | 55.31 Mn |
| Aug 2, 2025 | 56.40 Mn |
| May 3, 2025 | 53.56 Mn |
| Feb 1, 2025 | 57.80 Mn |
| Nov 2, 2024 | 51.67 Mn |
| Aug 3, 2024 | 49.21 Mn |
| May 4, 2024 | 47.56 Mn |
| Feb 3, 2024 | 58.48 Mn |
| Oct 28, 2023 | 46.57 Mn |
| Jul 29, 2023 | 48.32 Mn |
| Apr 29, 2023 | 45.63 Mn |
| Jan 28, 2023 | 53.61 Mn |
| Oct 29, 2022 | 44.44 Mn |
| Jul 30, 2022 | 42.26 Mn |
| Apr 30, 2022 | 43.62 Mn |
| Jan 29, 2022 | 49.38 Mn |
| Oct 30, 2021 | 41.71 Mn |
Build-A-Bear Workshop Operating Expenses 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=operating-expenses&ticker=BBW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();