Build-A-Bear Workshop (BBW) Inventory (2010 - 2026)
Build-A-Bear Workshop's Inventory was $81.13 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.8% from $81.76 million a year earlier but up 4.3% from the prior quarter.
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Analysis
Build-A-Bear Workshop (BBW) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Inventory at Build-A-Bear Workshop came in at $82.2 million, up 17.8% from FY2025.
- Inventory shows a five-year compound annual growth rate of 11.9% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $69.78 million in FY2025 (+9.9%), $63.5 million in FY2024 (-9.9%), $70.49 million in FY2023 (-1.8%) and $71.81 million in FY2022 (+53.0%).
- Quarterly Inventory has moved between $61.91 million (fiscal Q3 2022) and $88.34 million (fiscal Q3 2023) over five years.
- Compared with a year earlier, Inventory was higher in seven of the last eight quarters, with growth averaging 12.1%.
- The best year-over-year quarter for Inventory over five years was fiscal Q2 2023 (growth of 85.3%); the worst was fiscal Q3 2024 (a decline of 27.0%).
- Per Business Quant data, BBW's Inventory in the three fiscal quarters before Q2 2027 was $77.81 million (Q1 2027), $82.2 million (Q4 2026) and $83.28 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 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 | 81.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 81.13 Mn |
| May 2, 2026 | 77.81 Mn |
| Jan 31, 2026 | 82.20 Mn |
| Nov 1, 2025 | 83.28 Mn |
| Aug 2, 2025 | 81.76 Mn |
| May 3, 2025 | 72.30 Mn |
| Feb 1, 2025 | 69.78 Mn |
| Nov 2, 2024 | 70.77 Mn |
| Aug 3, 2024 | 66.98 Mn |
| May 4, 2024 | 64.02 Mn |
| Feb 3, 2024 | 63.50 Mn |
| Oct 28, 2023 | 64.47 Mn |
| Jul 29, 2023 | 66.33 Mn |
| Apr 29, 2023 | 66.49 Mn |
| Jan 28, 2023 | 70.49 Mn |
| Oct 29, 2022 | 88.34 Mn |
| Jul 30, 2022 | 87.72 Mn |
| Apr 30, 2022 | 77.37 Mn |
| Jan 29, 2022 | 71.81 Mn |
| Oct 30, 2021 | 61.91 Mn |
API Access
Build-A-Bear Workshop Inventory 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=inventory&ticker=BBW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();